Remove log

.github/workflows/android.yaml

@@ -0,0 +1,48 @@
+name: android
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - "examples/simple-chatbot/client/android/**"
+  pull_request:
+    branches:
+      - "**"
+    paths:
+      - "examples/simple-chatbot/client/android/**"
+  workflow_dispatch:
+    inputs:
+      sdk_git_ref:
+        type: string
+        description: "Which git ref of the app to build"
+
+concurrency:
+  group: build-android-${{ github.event.pull_request.number || github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  sdk:
+    name: "Simple chatbot demo"
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repo
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ github.event.inputs.sdk_git_ref || github.ref }}
+
+      - name: "Install Java"
+        uses: actions/setup-java@v4
+        with:
+          distribution: 'temurin'
+          java-version: '17'
+
+      - name: Build demo app
+        working-directory: examples/simple-chatbot/client/android
+        run: ./gradlew :simple-chatbot-client:assembleDebug
+
+      - name: Upload demo APK
+        uses: actions/upload-artifact@v4
+        with:
+          name: Simple Chatbot Android Client
+          path: examples/simple-chatbot/client/android/simple-chatbot-client/build/outputs/apk/debug/simple-chatbot-client-debug.apk

.github/workflows/build.yaml

@@ -21,20 +21,24 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
-      
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
-      
       - name: Set up Python
-        run: uv python install 3.10
-      
-      - name: Install development dependencies
-        run: uv sync --group dev
-      
+        id: setup_python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.10'
+      - name: Setup virtual environment
+        run: |
+          python -m venv .venv
+      - name: Install basic Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt
       - name: Build project
-        run: uv build
-      
-      - name: Install project in editable mode
-        run: uv pip install --editable .
+        run: |
+          source .venv/bin/activate
+          python -m build
+      - name: Install project and other Python dependencies
+        run: |
+          source .venv/bin/activate
+          pip install --editable .

.github/workflows/coverage.yaml

@@ -18,28 +18,35 @@ jobs:
     steps:
       - name: Checkout repo
         uses: actions/checkout@v4
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
-
       - name: Set up Python
-        run: uv python install 3.10
-
+        id: setup_python
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.10"
+      - name: Cache virtual environment
+        uses: actions/cache@v3
+        with:
+          # We are hashing dev-requirements.txt and test-requirements.txt which
+          # contain all dependencies needed to run the tests.
+          key: venv-${{ runner.os }}-${{ steps.setup_python.outputs.python-version}}-${{ hashFiles('dev-requirements.txt') }}-${{ hashFiles('test-requirements.txt') }}
+          path: .venv
       - name: Install system packages
+        id: install_system_packages
         run: |
           sudo apt-get install -y portaudio19-dev
-
-      - name: Install dependencies
+      - name: Setup virtual environment
         run: |
-          uv sync --group dev --extra anthropic --extra aws --extra google --extra langchain
-
+          python -m venv .venv
+      - name: Install basic Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt -r test-requirements.txt
       - name: Run tests with coverage
         run: |
-          uv run coverage run
-          uv run coverage xml
-
+          source .venv/bin/activate
+          coverage run
+          coverage xml
       - name: Upload coverage to Codecov
         uses: codecov/codecov-action@v5
         with:

.github/workflows/format.yaml

@@ -17,27 +17,30 @@ concurrency:
 
 jobs:
   ruff-format:
-    name: "Code quality checks"
+    name: "Formatting checker"
     runs-on: ubuntu-latest
     steps:
       - name: Checkout repo
         uses: actions/checkout@v4
-      
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
-      
       - name: Set up Python
-        run: uv python install 3.10
-      
-      - name: Install development dependencies
-        run: uv sync --group dev
-      
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.10"
+      - name: Setup virtual environment
+        run: |
+          python -m venv .venv
+      - name: Install development Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt
       - name: Ruff formatter
         id: ruff-format
-        run: uv run ruff format --diff
-      
-      - name: Ruff linter (all rules)
+        run: |
+          source .venv/bin/activate
+          ruff format --diff
+      - name: Ruff import linter
         id: ruff-check
-        run: uv run ruff check
+        run: |
+          source .venv/bin/activate
+          ruff check --select I

.github/workflows/publish.yaml

@@ -5,7 +5,7 @@ on:
     inputs:
       gitref:
         type: string
-        description: "what git tag to build (e.g. v0.0.74)"
+        description: "what git ref to build"
         required: true
 
 jobs:
@@ -17,17 +17,23 @@ jobs:
         uses: actions/checkout@v4
         with:
           ref: ${{ github.event.inputs.gitref }}
-      
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
       - name: Set up Python
-        run: uv python install 3.10
-      - name: Install development dependencies
-        run: uv sync --group dev
+        id: setup_python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.10'
+      - name: Setup virtual environment
+        run: |
+          python -m venv .venv
+      - name: Install basic Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt
       - name: Build project
-        run: uv build
+        run: |
+          source .venv/bin/activate
+          python -m build
       - name: Upload wheels
         uses: actions/upload-artifact@v4
         with:

.github/workflows/publish_test.yaml

@@ -12,16 +12,23 @@ jobs:
         with:
           fetch-tags: true
           fetch-depth: 100
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
       - name: Set up Python
-        run: uv python install 3.10
-      - name: Install development dependencies
-        run: uv sync --group dev
+        id: setup_python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.10'
+      - name: Setup virtual environment
+        run: |
+          python -m venv .venv
+      - name: Install basic Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt
       - name: Build project
-        run: uv build
+        run: |
+          source .venv/bin/activate
+          python -m build
       - name: Upload wheels
         uses: actions/upload-artifact@v4
         with:
@@ -31,7 +38,7 @@ jobs:
   publish-to-test-pypi:
     name: "Publish to Test PyPI"
     runs-on: ubuntu-latest
-    needs: [build]
+    needs: [ build ]
     environment:
       name: testpypi
       url: https://pypi.org/p/pipecat-ai

.github/workflows/python-compatibility.yaml

@@ -1,123 +0,0 @@
-name: Python Compatibility Test
-
-on:
-  push:
-    branches: [main, develop]
-    paths: ['pyproject.toml']
-  pull_request:
-    branches: [main, develop]
-    paths: ['pyproject.toml']
-
-jobs:
-  test-dev-environment:
-    runs-on: ubuntu-latest
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: ['3.10.18', '3.11.13', '3.12.11', '3.13.5']
-
-    name: Dev Environment - Python ${{ matrix.python-version }}
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Install system dependencies
-        run: |
-          sudo apt-get update
-          sudo apt-get install -y \
-            portaudio19-dev \
-            libcairo2-dev \
-            libgirepository1.0-dev \
-            pkg-config
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v4
-        with:
-          version: 'latest'
-
-      - name: Set up Python ${{ matrix.python-version }}
-        run: |
-          uv python install ${{ matrix.python-version }}
-          uv python pin ${{ matrix.python-version }}
-
-      - name: Test uv sync with all extras (Python < 3.13)
-        if: "!startsWith(matrix.python-version, '3.13.')"
-        run: |
-          uv sync --group dev --all-extras --no-extra krisp
-
-      - name: Test uv sync without PyTorch extras (Python 3.13+)
-        if: startsWith(matrix.python-version, '3.13.')
-        run: |
-          uv sync --group dev --all-extras \
-            --no-extra krisp \
-            --no-extra ultravox \
-            --no-extra local-smart-turn \
-            --no-extra moondream \
-            --no-extra mlx-whisper
-
-      - name: Verify dev installation
-        run: |
-          uv run python --version
-          uv run python -c "import pipecat; print('✅ Dev environment - Pipecat imports successfully')"
-
-  test-user-experience:
-    runs-on: ubuntu-latest
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: ['3.10.18', '3.11.13', '3.12.11', '3.13.5']
-
-    name: User Experience - Python ${{ matrix.python-version }}
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Install system dependencies
-        run: |
-          sudo apt-get update
-          sudo apt-get install -y \
-            portaudio19-dev \
-            libcairo2-dev \
-            libgirepository1.0-dev \
-            pkg-config
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v4
-        with:
-          version: 'latest'
-
-      - name: Set up Python ${{ matrix.python-version }}
-        run: |
-          uv python install ${{ matrix.python-version }}
-
-      - name: Build local package
-        run: |
-          uv build
-
-      - name: Create test project
-        run: |
-          mkdir test-project
-          cd test-project
-          uv init --python ${{ matrix.python-version }}
-
-      - name: Test comprehensive extras with uv add (Python 3.10-3.12)
-        if: "!startsWith(matrix.python-version, '3.13.')"
-        run: |
-          cd test-project
-          # Use uv add with built wheel to leverage dependency management
-          uv add "../dist/pipecat_ai-"*".whl[anthropic,assemblyai,asyncai,aws,aws-nova-sonic,azure,cartesia,cerebras,deepseek,daily,deepgram,elevenlabs,fal,fireworks,fish,gladia,google,grok,groq,gstreamer,heygen,inworld,koala,langchain,livekit,lmnt,local,mcp,mem0,mlx-whisper,moondream,nim,neuphonic,noisereduce,openai,openpipe,openrouter,perplexity,playht,qwen,rime,riva,runner,sambanova,sentry,local-smart-turn,remote-smart-turn,silero,simli,soniox,soundfile,speechmatics,tavus,together,tracing,ultravox,webrtc,websocket,whisper]"
-
-      - name: Test Python 3.13 compatible extras with uv add
-        if: startsWith(matrix.python-version, '3.13.')
-        run: |
-          cd test-project
-          # Use uv add with built wheel and Python 3.13 compatible extras
-          uv add "../dist/pipecat_ai-"*".whl[anthropic,assemblyai,asyncai,aws,aws-nova-sonic,azure,cartesia,cerebras,deepseek,daily,deepgram,elevenlabs,fal,fireworks,fish,gladia,google,grok,groq,gstreamer,heygen,inworld,koala,langchain,livekit,lmnt,local,mcp,mem0,nim,neuphonic,noisereduce,openai,openpipe,openrouter,perplexity,playht,qwen,rime,riva,runner,sambanova,sentry,remote-smart-turn,silero,simli,soniox,soundfile,speechmatics,tavus,together,tracing,webrtc,websocket,whisper]"
-
-      - name: Verify user installation
-        run: |
-          cd test-project
-          uv run python --version
-          uv run python -c "import pipecat; print('✅ User experience - Pipecat imports successfully')"
-          # Test that basic functionality works
-          uv run python -c "from pipecat.pipeline.pipeline import Pipeline; print('✅ Pipeline import works')"

.github/workflows/sync-quickstart.yaml

@@ -1,56 +0,0 @@
-name: Sync Quickstart to pipecat-quickstart repo
-
-on:
-  push:
-    branches: [main]
-    paths:
-      - 'examples/quickstart/**'
-  workflow_dispatch: # Manual trigger
-
-jobs:
-  sync-quickstart:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout main repo
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Checkout quickstart repo
-        uses: actions/checkout@v4
-        with:
-          repository: pipecat-ai/pipecat-quickstart
-          token: ${{ secrets.QUICKSTART_SYNC_TOKEN }}
-          path: quickstart-repo
-
-      - name: Sync files (excluding READMEs)
-        run: |
-          # Copy code files only, skip READMEs
-          cp examples/quickstart/bot.py quickstart-repo/
-          cp examples/quickstart/requirements.txt quickstart-repo/
-          cp examples/quickstart/env.example quickstart-repo/
-
-          # Copy any other files that aren't README.md
-          find examples/quickstart -type f \
-            -not -name "README.md" \
-            -not -name "*.md" \
-            -exec cp {} quickstart-repo/ \;
-
-      - name: Commit and push changes
-        run: |
-          cd quickstart-repo
-          git config user.name "GitHub Action"
-          git config user.email "action@github.com"
-          git add .
-
-          # Only commit if there are changes
-          if ! git diff --staged --quiet; then
-            git commit -m "Sync from pipecat main repo
-            
-            Updated files from examples/quickstart/
-            Commit: ${{ github.sha }}
-            "
-            git push
-          else
-            echo "No changes to sync"
-          fi

.github/workflows/tests.yaml

@@ -22,23 +22,31 @@ jobs:
     steps:
       - name: Checkout repo
         uses: actions/checkout@v4
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
-
       - name: Set up Python
-        run: uv python install 3.10
-
+        id: setup_python
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.10"
+      - name: Cache virtual environment
+        uses: actions/cache@v3
+        with:
+          # We are hashing dev-requirements.txt and test-requirements.txt which
+          # contain all dependencies needed to run the tests.
+          key: venv-${{ runner.os }}-${{ steps.setup_python.outputs.python-version}}-${{ hashFiles('dev-requirements.txt') }}-${{ hashFiles('test-requirements.txt') }}
+          path: .venv
       - name: Install system packages
+        id: install_system_packages
         run: |
           sudo apt-get install -y portaudio19-dev
-
-      - name: Install dependencies
+      - name: Setup virtual environment
         run: |
-          uv sync --group dev --extra anthropic --extra aws --extra google --extra langchain
-
+          python -m venv .venv
+      - name: Install basic Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt -r test-requirements.txt
       - name: Test with pytest
         run: |
-          uv run pytest
+          source .venv/bin/activate
+          pytest

.github/workflows/update-lockfile.yaml

@@ -1,42 +0,0 @@
-name: Update lockfile
-
-on:
-  push:
-    paths:
-      - 'pyproject.toml'
-    branches:
-      - main
-  workflow_dispatch: # Allows manual triggering from GitHub UI
-
-jobs:
-  update-lockfile:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          # This gives the workflow permission to push back to the repo
-          token: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v1
-
-      - name: Update lockfile
-        run: uv lock
-
-      - name: Check for changes
-        id: verify-changed-files
-        run: |
-          if [ -n "$(git status --porcelain)" ]; then
-            echo "changed=true" >> $GITHUB_OUTPUT
-          else
-            echo "changed=false" >> $GITHUB_OUTPUT
-          fi
-
-      - name: Commit lockfile
-        if: steps.verify-changed-files.outputs.changed == 'true'
-        run: |
-          git config --local user.email "action@github.com"  
-          git config --local user.name "GitHub Action"
-          git add uv.lock
-          git commit -m "chore: update uv.lock after dependency changes"
-          git push

.gitignore

@@ -31,6 +31,8 @@ MANIFEST
 fly.toml
 
 # Examples
+examples/telnyx-chatbot/templates/streams.xml
+examples/twilio-chatbot/templates/streams.xml
 examples/**/node_modules/
 examples/**/.expo/
 examples/**/dist/
@@ -48,7 +50,4 @@ examples/**/web-build/
 
 # Documentation
 docs/api/_build/
-docs/api/api
-
-# uv
-.python-version
+docs/api/api

.pre-commit-config.yaml

@@ -1,8 +1,8 @@
 repos:
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.12.1
+    rev: v0.9.7
     hooks:
       - id: ruff
         language_version: python3
-        args: [--fix]
+        args: [ --select,  I, ]
       - id: ruff-format

.readthedocs.yaml

@@ -9,14 +9,22 @@ build:
     - python3-dev
     - libasound2-dev
   jobs:
-    post_install:
-      - pip install uv
-      - UV_PROJECT_ENVIRONMENT=$READTHEDOCS_VIRTUALENV_PATH uv sync --group docs --all-extras --no-extra krisp --no-extra gstreamer --no-extra ultravox --no-extra local_smart_turn --no-extra moondream --no-extra riva --no-extra mlx-whisper
+    pre_build:
+      - python -m pip install --upgrade pip
+      - pip install wheel setuptools
+    post_build:
+      - echo "Build completed"
 
 sphinx:
   configuration: docs/api/conf.py
   fail_on_warning: false
 
+python:
+  install:
+    - requirements: docs/api/requirements.txt
+    - method: pip
+      path: .
+
 search:
   ranking:
     api/*: 5

CHANGELOG.md

@@ -5,887 +5,10 @@ All notable changes to **Pipecat** will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## Unreleased
-
-### Changed
-
-- Updated `pyproject.toml` to once again pin `numba` to `>=0.61.2` in order to
-  resolve package versioning issues.
-
-### Other
-
-- Updated `15-switch-voices.py` and `15a-switch-languages.py` examples to show
-  how to enclose complex logic (e.g. `ParallelPipeline`) into a single processor
-  so the main pipeline becomes simpler.
-
-## [0.0.79] - 2025-08-07
-
-### Changed
-
-- Changed `pipecat-ai`'s `openai` dependency to `>=1.74.0,<=1.99.1` due to a
-  breaking change in `openai` 1.99.2 ([commit](https://github.com/openai/openai-python/commit/657f551dbe583ffb259d987dafae12c6211fba06))
-
-### Deprecated
-
-- `TTSService.say()` is deprecated, push a `TTSSpeakFrame` instead. Calling
-  functions directly is a discouraged pattern in Pipecat because, for example,
-  it might cause issues with frame ordering.
-
-- `LLMMessagesFrame` is deprecated, in favor of either:
-
-  - `LLMMessagesUpdateFrame` with `run_llm=True`
-  - `OpenAILLMContextFrame` with desired messages in a new context
-
-- `LLMUserResponseAggregator` and `LLMAssistantResponseAggregator` are
-  deprecated, as they depended on the now-deprecated `LLMMessagesFrame`. Use
-  `LLMUserContextAggregator` and `LLMAssistantResponseAggregator` (or
-  LLM-specific subclasses thereof) instead.
-
-## [0.0.78] - 2025-08-07
+## [Unreleased]
 
 ### Added
 
-- Added `enable_emulated_vad_interruptions` to `LLMUserAggregatorParams`.
-  When user speech is emulated (e.g. when a transcription is received but
-  VAD doesn't detect speech), this parameter controls whether the emulated
-  speech can interrupt the bot. Default is False (emulated speech is ignored
-  while the bot is speaking).
-
-- Added new `handle_sigint` and `handle_sigterm` to `RunnerArguments`. This
-  allows applications to know what settings they should use for the environment
-  they are running on. Also, added `pipeline_idle_timeout_secs` to be able to
-  control the `PipelineTask` idle timeout.
-
-- Added `processor` field to `ErrorFrame` to indicate `FrameProcessor` that
-  generated the error.
-
-- Added new language support for `AWSTranscribeSTTService`. All languages
-  supporting streaming data input are now supported:
-  https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html
-
-- Added support for Simli Trinity Avatars. A new `is_trinity_avatar` parameter
-  has been introduced to specify whether the provided `faceId` corresponds to a
-  Trinity avatar, which is required for optimal Trinity avatar performance.
-
-- The development runner how handles custom `body` data for `DailyTransport`.
-  The `body` data is passed to the Pipecat client. You can POST to the `/start`
-  endpoint with a request body of:
-
-  ```
-  {
-      "createDailyRoom": true,
-      "dailyRoomProperties": { "start_video_off": true },
-      "body": { "custom_data": "value" }
-  }
-  ```
-
-  The `body` information is parsed and used in the application. The
-  `dailyRoomProperties` are currently not handled.
-
-- Added detailed latency logging to `UserBotLatencyLogObserver`, capturing
-  average response time between user stop and bot start, as well as minimum and
-  maximum response latency.
-
-- Added Chinese, Japanese, Korean word timestamp support to
-  `CartesiaTTSService`.
-
-- Added `region` parameter to `GladiaSTTService`. Accepted values: eu-west
-  (default), us-west.
-
-### Changed
-
-- System frames are now queued. Before, system frames could be generated from
-  any task and would not guarantee any order which was causing undesired
-  behavior. Also, it was possible to get into some rare recursion issues because
-  of the way system frames were executed (they were executed in-place, meaning
-  calling `push_frame()` would finish after the system frame traversed all the
-  pipeline). This makes system frames more deterministic.
-
-- Changed the default model for both `ElevenLabsTTSService` and
-  `ElevenLabsHttpTTSService` to `eleven_turbo_v2_5`. The rationale for this
-  change is that the Turbo v2.5 model exhibits the most stable voice quality
-  along with very low latency TTFB; latencies are on par with the Flash v2.5
-  model. Also, the Turbo v2.5 model outputs word/timestamp alignment data with
-  correct spacing.
-
-- The development runners `/connect` and `/start` endpoint now both return
-  `dailyRoom` and `dailyToken` in place of the previous `room_url` and `token`.
-
-- Updated the `pipecat.runner.daily` utility to only a take `DAILY_API_URL` and
-  `DAILY_SAMPLE_ROOM_URL` environment variables instead of argparsing `-u` and
-  `-k`, respectively.
-
-- Updated `daily-python` to 0.19.6.
-
-- Changed `TavusVideoService` to send audio or video frames only after the
-  transport is ready, preventing warning messages at startup.
-
-- The development runner now strips any provided protocol (e.g. https://) from
-  the proxy address and issues a warning. It also strips trailing `/`.
-
-### Deprecated
-
-- In the `pipecat.runner.daily`, the `configure_with_args()` function is
-  deprecated. Use the `configure()` function instead.
-
-- The development runner's `/connect` endpoint is deprecated and will be
-  removed in a future version. Use the `/start` endpoint in its place. In the
-  meantime, both endpoints work and deliver equivalent functionality.
-
-### Fixed
-
-- Fixed a `DailyTransport` issue that would result in an unhandled
-  `concurrent.futures.CancelledError` when a future is cancelled.
-
-- Fixed a `RivaSTTService` issue that would result in an unhandled
-  `concurrent.futures.CancelledError` when a future is cancelled when reading
-  from the audio chunks from the incoming audio stream.
-
-- Fixed an issue in the `BaseOutputTransport`, mainly reproducible with
-  `FastAPIWebsocketOutputTransport` when the audio mixer was enabled, where the
-  loop could consume 100% CPU by continuously returning without delay, preventing
-  other asyncio tasks (such as cancellation or shutdown signals) from being
-  processed.
-
-- Fixed an issue where `BotStartedSpeakingFrame` and `BotStoppedSpeakingFrame`
-  were not emitted when using `TavusVideoService` or `HeyGenVideoService`.
-
-- Fixed an issue in `LiveKitTransport` where empty `AudioRawFrame`s were pushed
-  down the pipeline. This resulted in warnings by the STT processor.
-- Fixed `PiperTTSService` to send text as a JSON object in the request body,
-  resolving compatibility with Piper's HTTP API.
-
-- Fixed an issue with the `TavusVideoService` where an error was thrown due to
-  missing transcription callbacks.
-
-- Fixed an issue in `SpeechmaticsSTTService` where the `user_id` was set to
-  `None` when diarization is not enabled.
-
-### Performance
-
-- Fixed an issue in `TaskObserver` (a proxy to all observers) that was degrading
-  global performance.
-
-### Other
-
-- Added `07aa-interruptible-soniox.py`, `07ab-interruptible-inworld-http.py`,
-  `07ac-interruptible-asyncai.py` and `07ac-interruptible-asyncai-http.py`
-  release evals.
-
-## [0.0.77] - 2025-07-31
-
-### Added
-
-- Added `InputTextRawFrame` frame type to handle user text input with Gemini
-  Multimodal Live.
-
-- Added `HeyGenVideoService`. This is an integration for HeyGen Interactive
-  Avatar. A video service that handles audio streaming and requests HeyGen to
-  generate avatar video responses. (see https://www.heygen.com/)
-
-- Added the ability to switch voices to `RimeTTSService`.
-
-- Added unified development runner for building voice AI bots across multiple
-  transports
-
-  - `pipecat.runner.run` – FastAPI-based development server with automatic bot
-    discovery
-  - `pipecat.runner.types` – Runner session argument types
-    (`DailyRunnerArguments`, `SmallWebRTCRunnerArguments`,
-    `WebSocketRunnerArguments`)
-  - `pipecat.runner.utils.create_transport()` – Factory function for creating
-    transports from session arguments
-  - `pipecat.runner.daily` and `pipecat.runner.livekit` – Configuration
-    utilities for Daily and LiveKit setups
-  - Support for all transport types: Daily, WebRTC, Twilio, Telnyx, Plivo
-  - Automatic telephony provider detection and serializer configuration
-  - ESP32 WebRTC compatibility with SDP munging
-  - Environment detection (`ENV=local`) for conditional features
-
-- Added Async.ai TTS integration (https://async.ai/)
-
-  - `AsyncAITTSService` – WebSocket-based streaming TTS with interruption
-    support
-  - `AsyncAIHttpTTSService` – HTTP-based streaming TTS service
-  - Example scripts:
-    - `examples/foundational/07ac-interruptible-asyncai.py` (WebSocket demo)
-    - `examples/foundational/07ac-interruptible-asyncai-http.py` (HTTP demo)
-
-- Added `transcription_bucket` params support to the `DailyRESTHelper`.
-
-- Added a new TTS service, `InworldTTSService`. This service provides
-  low-latency, high-quality speech generation using Inworld's streaming API.
-
-- Added a new field `handle_sigterm` to `PipelineRunner`. It defaults to
-  `False`. This field handles SIGTERM signals. The `handle_sigint` field still
-  defaults to `True`, but now it handles only SIGINT signals.
-
-- Added foundational example `14u-function-calling-ollama.py` for Ollama
-  function calling.
-
-- Added `LocalSmartTurnAnalyzerV2`, which supports local on-device inference
-  with the new `smart-turn-v2` turn detection model.
-
-- Added `set_log_level` to `DailyTransport`, allowing setting the logging level
-  for Daily's internal logging system.
-
-- Added `on_transcription_stopped` and `on_transcription_error` to Daily
-  callbacks.
-
-### Changed
-
-- Changed the default `url` for `NeuphonicTTSService` to
-  `wss://api.neuphonic.com` as it provides better global performance. You can
-  set the URL to other URLs, such as the previous default:
-  `wss://eu-west-1.api.neuphonic.com`.
-
-- Update `daily-python` to 0.19.5.
-
-- `STTMuteFilter` now pushes the `STTMuteFrame` upstream and downstream, to
-  allow for more flexible `STTMuteFilter` placement.
-
-- Play delayed messages from `ElevenLabsTTSService` if they still belong to the
-  current context.
-
-- Dependency compatibility improvements: Relaxed version constraints for core
-  dependencies to support broader version ranges while maintaining stability:
-
-  - `aiohttp`, `Markdown`, `nltk`, `numpy`, `Pillow`, `pydantic`, `openai`,
-    `numba`: Now support up to the next major version (e.g. `numpy>=1.26.4,<3`)
-  - `pyht`: Relaxed to `>=0.1.6` to resolve `grpcio` conflicts with
-    `nvidia-riva-client`
-  - `fastapi`: Updated to support versions `>=0.115.6,<0.117.0`
-  - `torch`/`torchaudio`: Changed from exact pinning (`==2.5.0`) to compatible
-    range (`~=2.5.0`)
-  - `aws_sdk_bedrock_runtime`: Added Python 3.12+ constraint via environment
-    marker
-  - `numba`: Reduced minimum version to `0.60.0` for better compatibility
-
-- Changed `NeuphonicHttpTTSService` to use a POST based request instead of the
-  `pyneuphonic` package. This removes a package requirement, allowing Neuphonic
-  to work with more services.
-
-- Updated `ElevenLabsTTSService` to handle the case where
-  `allow_interruptions=False`. Now, when interruptions are disabled, the same
-  context ID will be used throughout the conversation.
-
-- Updated the `deepgram` optional dependency to 4.7.0, which downgrades the
-  `tasks cancelled error` to a debug log. This removes the log from appearing
-  in Pipecat logs upon leaving.
-
-- Upgraded the `websockets` implementation to the new asyncio implementation.
-  Along with this change, we're updating support for versions >=13.1.0 and
-  <15.0.0. All services have been update to use the asyncio implementation.
-
-- Updated `MiniMaxHttpTTSService` with a `base_url` arg where you can specify
-  the Global endpoint (default) or Mainland China.
-
-- Replaced regex-based sentence detection in `match_endofsentence` with NLTK's
-  punkt_tab tokenizer for more reliable sentence boundary detection.
-
-- Changed the `livekit` optional dependency for `tenacity` to
-  `tenacity>=8.2.3,<10.0.0` in order to support the `google-genai` package.
-
-- For `LmntTTSService`, changed the default `model` to `blizzard`, LMNT's
-  recommended model.
-
-- Updated `SpeechmaticsSTTService`:
-  - Added support for additional diarization options.
-  - Added foundational example `07a-interruptible-speechmatics-vad.py`, which
-    uses VAD detection provided by `SpeechmaticsSTTService`.
-
-### Fixed
-
-- Fixed a `LLMUserResponseAggregator` issue where interruptions were not being
-  handled properly.
-
-- Fixed `PiperTTSService` to work with newer Piper GPL.
-
-- Fixed a race condition in `FastAPIWebsocketClient` that occurred when
-  attempting to send a message while the client was disconnecting.
-
-- Fixed an issue in `GoogleLLMService` where interruptions did not work when an
-  interruption strategy was used.
-
-- Fixed an issue in the `TranscriptProcessor` where newline characters could
-  cause the transcript output to be corrupted (e.g. missing all spaces).
-
-- Fixed an issue in `AudioBufferProcessor` when using `SmallWebRTCTransport`
-  where, if the microphone was muted, track timing was not respected.
-
-- Fixed an error that occurs when pushing an `LLMMessagesFrame`. Only some LLM
-  services, like Grok, are impacted by this issue. The fix is to remove the
-  optional `name` property that was being added to the message.
-
-- Fixed an issue in `AudioBufferProcessor` that caused garbled audio when
-  `enable_turn_audio` was enabled and audio resampling was required.
-
-- Fixed a dependency issue for uv users where an `llvmlite` version required
-  python 3.9.
-
-- Fixed an issue in `MiniMaxHttpTTSService` where the `pitch` param was the
-  incorrect type.
-
-- Fixed an issue with OpenTelemetry tracing where the `enable_tracing` flag did
-  not disable the internal tracing decorator functions.
-
-- Fixed an issue in `OLLamaLLMService` where kwargs were not passed correctly
-  to the parent class.
-
-- Fixed an issue in `ElevenLabsTTSService` where the word/timestamp pairs were
-  calculating word boundaries incorrectly.
-
-- Fixed an issue where, in some edge cases, the
-  `EmulateUserStartedSpeakingFrame` could be created even if we didn't have a
-  transcription.
-
-- Fixed an issue in `GoogleLLMContext` where it would inject the
-  `system_message` as a "user" message into cases where it was not meant to;
-  it was only meant to do that when there were no "regular" (non-function-call)
-  messages in the context, to ensure that inference would run properly.
-
-- Fixed an issue in `LiveKitTransport` where the `on_audio_track_subscribed` was
-  never emitted.
-
-### Other
-
-- Added new quickstart demos:
-
-  - examples/quickstart: voice AI bot quickstart
-  - examples/client-server-web: client/server starter example
-  - examples/phone-bot-twilio: twilio starter example
-
-- Removed most of the examples from the pipecat repo. Examples can now be
-  found in: https://github.com/pipecat-ai/pipecat-examples.
-
-## [0.0.76] - 2025-07-11
-
-### Added
-
-- Added `SpeechControlParamsFrame`, a new `SystemFrame` that notifies
-  downstream processors of the VAD and Turn analyzer params. This frame is
-  pushed by the `BaseInputTransport` at Start and any time a
-  `VADParamsUpdateFrame` is received.
-
-### Changed
-
-- Two package dependencies have been updated:
-  - `numpy` now supports 1.26.0 and newer
-  - `transformers` now supports 4.48.0 and newer
-
-### Fixed
-
-- Fixed an issue with RTVI's handling of `append-to-context`.
-
-- Fixed an issue where using audio input with a sample rate requiring resampling
-  could result in empty audio being passed to STT services, causing errors.
-
-- Fixed the VAD analyzer to process the full audio buffer as long as it contains
-  more than the minimum required bytes per iteration, instead of only analyzing
-  the first chunk.
-
-- Fixed an issue in ParallelPipeline that caused errors when attempting to drain
-  the queues.
-
-- Fixed an issue with emulated VAD timeout inconsistency in
-  `LLMUserContextAggregator`. Previously, emulated VAD scenarios (where
-  transcription is received without VAD detection) used a hardcoded
-  `aggregation_timeout` (default 0.5s) instead of matching the VAD's
-  `stop_secs` parameter (default 0.8s). This created different user experiences
-  between real VAD and emulated VAD scenarios. Now, emulated VAD timeouts
-  automatically synchronize with the VAD's `stop_secs` parameter.
-
-- Fix a pipeline freeze when using AWS Nova Sonic, which would occur if the
-  user started early, while the bot was still working through
-  `trigger_assistant_response()`.
-
-## [0.0.75] - 2025-07-08 [YANKED]
-
-**This release has been yanked due to resampling issues affecting audio output
-quality and critical bugs impacting `ParallelPipelines` functionality.**
-
-**Please upgrade to version 0.0.76 or later.**
-
-### Added
-
-- Added an `aggregate_sentences` arg in `CartesiaTTSService`,
-  `ElevenLabsTTSService`, `NeuphonicTTSService` and `RimeTTSService`, where the
-  default value is True. When `aggregate_sentences` is True, the `TTSService`
-  aggregates the LLM streamed tokens into sentences by default. Note: setting
-  the value to False requires a custom processor before the `TTSService` to
-  aggregate LLM tokens.
-
-- Added `kwargs` to the `OLLamaLLMService` to allow for configuration args to
-  be passed to Ollama.
-
-- Added call hang-up error handling in `TwilioFrameSerializer`, which handles
-  the case where the user has hung up before the `TwilioFrameSerializer` hangs
-  up the call.
-
-### Changed
-
-- Updated `RTVIObserver` and `RTVIProcessor` to match the new RTVI 1.0.0 protocol.
-  This includes:
-
-  - Deprecating support for all messages related to service configuaration and
-    actions.
-  - Adding support for obtaining and logging data about client, including its
-    RTVI version and optionally included system information (OS/browser/etc.)
-  - Adding support for handling the new `client-message` RTVI message through
-    either a `on_client_message` event handler or listening for a new
-    `RTVIClientMessageFrame`
-  - Adding support for responding to a `client-message` with a `server-response`
-    via either a direct call on the `RTVIProcessor` or via pushing a new
-    `RTVIServerResponseFrame`
-  - Adding built-in support for handling the new `append-to-context` RTVI message
-    which allows a client to add to the user or assistant llm context. No extra
-    code is required for supporting this behavior.
-  - Updating all JavaScript and React client RTVI examples to use versions 1.0.0
-    of the clients.
-
-  Get started migrating to RTVI protocol 1.0.0 by following the migration guide:
-  https://docs.pipecat.ai/client/migration-guide
-
-- Refactored `AWSBedrockLLMService` and `AWSPollyTTSService` to work
-  asynchronously using `aioboto3` instead of the `boto3` library.
-
-- The `UserIdleProcessor` now handles the scenario where function calls take
-  longer than the idle timeout duration. This allows you to use the
-  `UserIdleProcessor` in conjunction with function calls that take a while to
-  return a result.
-
-### Fixed
-
-- Updated the `NeuphonicTTSService` to work with the updated websocket API.
-
-- Fixed an issue with `RivaSTTService` where the watchdog feature was causing
-  an error on initialization.
-
-### Performance
-
-- Remove unncessary push task in each `FrameProcessor`.
-
-## [0.0.74] - 2025-07-03 [YANKED]
-
-**This release has been yanked due to resampling issues affecting audio output
-quality and critical bugs impacting `ParallelPipelines` functionality.**
-
-**Please upgrade to version 0.0.76 or later.**
-
-### Added
-
-- Added a new STT service, `SpeechmaticsSTTService`. This service provides
-  real-time speech-to-text transcription using the Speechmatics API. It supports
-  partial and final transcriptions, multiple languages, various audio formats,
-  and speaker diarization.
-
-- Added `normalize` and `model_id` to `FishAudioTTSService`.
-
-- Added `http_options` argument to `GoogleLLMService`.
-
-- Added `run_llm` field to `LLMMessagesAppendFrame` and `LLMMessagesUpdateFrame`
-  frames. If true, a context frame will be pushed triggering the LLM to respond.
-
-- Added a new `SOXRStreamAudioResampler` for processing audio in chunks or
-  streams. If you write your own processor and need to use an audio resampler,
-  use the new `create_stream_resampler()`.
-
-- Added new `DailyParams.audio_in_user_tracks` to allow receiving one track per
-  user (default) or a single track from the room (all participants mixed).
-
-- Added support for providing "direct" functions, which don't need an
-  accompanying `FunctionSchema` or function definition dict. Instead, metadata
-  (i.e. `name`, `description`, `properties`, and `required`) are automatically
-  extracted from a combination of the function signature and docstring.
-
-  Usage:
-
-  ```python
-  # "Direct" function
-  # `params` must be the first parameter
-  async def do_something(params: FunctionCallParams, foo: int, bar: str = ""):
-    """
-    Do something interesting.
-
-    Args:
-      foo (int): The foo to do something interesting with.
-      bar (string): The bar to do something interesting with.
-    """
-
-    result = await process(foo, bar)
-    await params.result_callback({"result": result})
-
-  # ...
-
-  llm.register_direct_function(do_something)
-
-  # ...
-
-  tools = ToolsSchema(standard_tools=[do_something])
-  ```
-
-- `user_id` is now populated in the `TranscriptionFrame` and
-  `InterimTranscriptionFrame` when using a transport that provides a `user_id`,
-  like `DailyTransport` or `LiveKitTransport`.
-
-- Added `watchdog_coroutine()`. This is a watchdog helper for couroutines. So,
-  if you have a coroutine that is waiting for a result and that takes a long
-  time, you will need to wrap it with `watchdog_coroutine()` so the watchdog
-  timers are reset regularly.
-
-- Added `session_token` parameter to `AWSNovaSonicLLMService`.
-
-- Added Gemini Multimodal Live File API for uploading, fetching, listing, and
-  deleting files. See `26f-gemini-multimodal-live-files-api.py` for example usage.
-
-### Changed
-
-- Updated all the services to use the new `SOXRStreamAudioResampler`, ensuring smooth
-  transitions and eliminating clicks.
-
-- Upgraded `daily-python` to 0.19.4.
-
-- Updated `google` optional dependency to use `google-genai` version `1.24.0`.
-
-### Fixed
-
-- Fixed an issue where audio would get stuck in the queue when an interrupt occurs
-  during Azure TTS synthesis.
-
-- Fixed a race condition that occurs in Python 3.10+ where the task could miss
-  the `CancelledError` and continue running indefinitely, freezing the pipeline.
-
-- Fixed a `AWSNovaSonicLLMService` issue introduced in 0.0.72.
-
-### Deprecated
-
-- In `FishAudioTTSService`, deprecated `model` and replaced with
-  `reference_id`. This change is to better align with Fish Audio's variable
-  naming and to reduce confusion about what functionality the variable
-  controls.
-
-## [0.0.73] - 2025-06-26
-
-### Fixed
-
-- Fixed an issue introduced in 0.0.72 that would cause `ElevenLabsTTSService`,
-  `GladiaSTTService`, `NeuphonicTTSService` and `OpenAIRealtimeBetaLLMService`
-  to throw an error.
-
-## [0.0.72] - 2025-06-26
-
-### Added
-
-- Added logging and improved error handling to help diagnose and prevent potential
-  Pipeline freezes.
-
-- Added `WatchdogQueue`, `WatchdogPriorityQueue`, `WatchdogEvent` and
-  `WatchdogAsyncIterator`. These helper utilities reset watchdog timers
-  appropriately before they expire. When watchdog timers are disabled, the
-  utilities behave as standard counterparts without side effects.
-
-- Introduce task watchdog timers. Watchdog timers are used to detect if a
-  Pipecat task is taking longer than expected (by default 5 seconds). Watchdog
-  timers are disabled by default and can be enabled globally by passing
-  `enable_watchdog_timers` argument to `PipelineTask` constructor. It is
-  possible to change the default watchdog timer timeout by using the
-  `watchdog_timeout` argument. You can also log how long it takes to reset the
-  watchdog timers which is done with the `enable_watchdog_logging`. You can
-  control all these settings per each frame processor or even per task. That is,
-  you can set `enable_watchdog_timers`, `enable_watchdog_logging` and
-  `watchdog_timeout` when creating any frame processor through their constructor
-  arguments or when you create a task with `FrameProcessor.create_task()`. Note
-  that watchdog timers only work with Pipecat tasks and will not work if you use
-  `asycio.create_task()` or similar.
-
-- Added `lexicon_names` parameter to `AWSPollyTTSService.InputParams`.
-
-- Added reconnection logic and audio buffer management to `GladiaSTTService`.
-
-- The `TurnTrackingObserver` now ends a turn upon observing an `EndFrame` or
-  `CancelFrame`.
-
-- Added Polish support to `AWSTranscribeSTTService`.
-
-- Added new frames `FrameProcessorPauseFrame` and `FrameProcessorResumeFrame`
-  which allow pausing and resuming frame processing for a given frame
-  processor. These are control frames, so they are ordered. Pausing frame
-  processor will keep old frames in the internal queues until resume takes
-  place. Frames being pushed while a frame processor is paused will be pushed to
-  the queues. When frame processing is resumed all queued frames will be
-  processed in order. Also added `FrameProcessorPauseUrgentFrame` and
-  `FrameProcessorResumeUrgentFrame` which are system frames and therefore they
-  have high priority.
-
-- Added a property called `has_function_calls_in_progress` in
-  `LLMAssistantContextAggregator` that exposes whether a function call is in
-  progress.
-
-- Added `SambaNovaLLMService` which provides llm api integration with an
-  OpenAI-compatible interface.
-
-- Added `SambaNovaTTSService` which provides speech-to-text functionality using
-  SambaNovas's (whisper) API.
-
-- Add fundational examples for function calling and transcription
-  `14s-function-calling-sambanova.py`, `13g-sambanova-transcription.py`
-
-### Changed
-
-- `HeartbeatFrame`s are now control frames. This will make it easier to detect
-  pipeline freezes. Previously, heartbeat frames were system frames which meant
-  they were not get queued with other frames, making it difficult to detect
-  pipeline stalls.
-
-- Updated `OpenAIRealtimeBetaLLMService` to accept `language` in the
-  `InputAudioTranscription` class for all models.
-
-- Updated the default model for `OpenAIRealtimeBetaLLMService` to
-  `gpt-4o-realtime-preview-2025-06-03`.
-
-- The `PipelineParams` arg `allow_interruptions` now defaults to `True`.
-
-- `TavusTransport` and `TavusVideoService` now send audio to Tavus using WebRTC
-  audio tracks instead of `app-messages` over WebSocket. This should improve the
-  overall audio quality.
-
-- Upgraded `daily-python` to 0.19.3.
-
-### Fixed
-
-- Fixed an issue that would cause heartbeat frames to be sent before processors
-  were started.
-
-- Fixed an event loop blocking issue when using `SentryMetrics`.
-
-- Fixed an issue in `FastAPIWebsocketClient` to ensure proper disconnection
-  when the websocket is already closed.
-
-- Fixed an issue where the `UserStoppedSpeakingFrame` was not received if the
-  transport was not receiving new audio frames.
-
-- Fixed an edge case where if the user interrupted the bot but no new aggregation
-  was received, the bot would not resume speaking.
-
-- Fixed an issue with `TelnyxFrameSerializer` where it would throw an exception
-  when the user hung up the call.
-
-- Fixed an issue with `ElevenLabsTTSService` where the context was not being
-  closed.
-
-- Fixed function calling in `AWSNovaSonicLLMService`.
-
-- Fixed an issue that would cause multiple `PipelineTask.on_idle_timeout`
-  events to be triggered repeatedly.
-
-- Fixed an issue that was causing user and bot speech to not be synchronized
-  during recordings.
-
-- Fixed an issue where voice settings weren't applied to ElevenLabsTTSService.
-
-- Fixed an issue with `GroqTTSService` where it was not properly parsing the
-  WAV file header.
-
-- Fixed an issue with `GoogleSTTService` where it was constantly reconnecting
-  before starting to receive audio from the user.
-
-- Fixed an issue where `GoogleLLMService`'s TTFB value was incorrect.
-
-### Deprecated
-
-- `AudioBufferProcessor` parameter `user_continuos_stream` is deprecated.
-
-### Other
-
-- Rename `14e-function-calling-gemini.py` to `14e-function-calling-google.py`.
-
-## [0.0.71] - 2025-06-10
-
-### Added
-
-- Adds a parameter called `additional_span_attributes` to PipelineTask that
-  lets you add any additional attributes you'd like to the conversation span.
-
-### Fixed
-
-- Fixed an issue with `CartesiaSTTService` initialization.
-
-## [0.0.70] - 2025-06-10
-
-### Added
-
-- Added `ExotelFrameSerializer` to handle telephony calls via Exotel.
-
-- Added the option `informal` to `TranslationConfig` on Gladia config.
-  Allowing to force informal language forms when available.
-
-- Added `CartesiaSTTService` which is a websocket based implementation to
-  transcribe audio. Added a foundational example in
-  `13f-cartesia-transcription.py`
-
-- Added an `websocket` example, showing how to use the new Pipecat client
-  `WebsocketTransport` to connect with Pipecat `FastAPIWebsocketTransport` or
-  `WebsocketServerTransport`.
-
-- Added language support to `RimeHttpTTSService`. Extended languages to include
-  German and French for both `RimeTTSService` and `RimeHttpTTSService`.
-
-### Changed
-
-- Upgraded `daily-python` to 0.19.2.
-
-- Make `PipelineTask.add_observer()` synchronous. This allows callers to call it
-  before doing the work of running the `PipelineTask` (i.e. without invoking
-  `PipelineTask.set_event_loop()` first).
-
-- Pipecat 0.0.69 forced `uvloop` event loop on Linux on macOS. Unfortunately,
-  this is causing issue in some systems. So, `uvloop` is not enabled by default
-  anymore. If you want to use `uvloop` you can just set the `asyncio` event
-  policy before starting your agent with:
-
-```python
-asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
-```
-
-### Fixed
-
-- Fixed an issue with various TTS services that would cause audio glitches at
-  the start of every bot turn.
-
-- Fixed an `ElevenLabsTTSService` issue where a context warning was printed
-  when pushing a `TTSSpeakFrame`.
-
-- Fixed an `AssemblyAISTTService` issue that could cause unexpected behavior
-  when yielding empty `Frame()`s.
-
-- Fixed an issue where `OutputAudioRawFrame.transport_destination` was being
-  reset to `None` instead of retaining its intended value before sending the
-  audio frame to `write_audio_frame`.
-
-- Fixed a typo in Livekit transport that prevented initialization.
-
-## [0.0.69] - 2025-06-02 "AI Engineer World's Fair release" ✨
-
-### Added
-
-- Added a new frame `FunctionCallsStartedFrame`. This frame is pushed both
-  upstream and downstream from the LLM service to indicate that one or more
-  function calls are going to be executed.
-
-- Added LLM services `on_function_calls_started` event. This event will be
-  triggered when the LLM service receives function calls from the model and is
-  going to start executing them.
-
-- Function calls can now be executed sequentially (in the order received in the
-  completion) by passing `run_in_parallel=False` when creating your LLM
-  service. By default, if the LLM completion returns 2 or more function calls
-  they run concurrently. In both cases, concurrently and sequentially, a new LLM
-  completion will run when the last function call finishes.
-
-- Added OpenTelemetry tracing for `GeminiMultimodalLiveLLMService` and
-  `OpenAIRealtimeBetaLLMService`.
-
-- Added initial support for interruption strategies, which determine if the user
-  should interrupt the bot while the bot is speaking. Interruption strategies
-  can be based on factors such as audio volume or the number of words spoken by
-  the user. These can be specified via the new `interruption_strategies` field
-  in `PipelineParams`. A new `MinWordsInterruptionStrategy` strategy has been
-  introduced which triggers an interruption if the user has spoken a minimum
-  number of words. If no interruption strategies are specified, the normal
-  interruption behavior applies. If multiple strategies are provided, the first
-  one that evaluates to true will trigger the interruption.
-
-- `BaseInputTransport` now handles `StopFrame`. When a `StopFrame` is received
-  the transport will pause sending frames downstream until a new `StartFrame` is
-  received. This allows the transport to be reused (keeping the same connection)
-  in a different pipeline.
-
-- Updated AssemblyAI STT service to support their latest streaming
-  speech-to-text model with improved transcription latency and endpointing.
-
-- You can now access STT service results through the new
-  `TranscriptionFrame.result` and `InterimTranscriptionFrame.result` field. This
-  is useful in case you use some specific settings for the STT and you want to
-  access the STT results.
-
-- The examples runner is now public from the `pipecat.examples` package. This
-  allows everyone to build their own examples and run them easily.
-
-- It is now possible to push `OutputDTMFFrame` or `OutputDTMFUrgentFrame` with
-  `DailyTransport`. This will be sent properly if a Daily dial-out connection
-  has been established.
-
-- Added `OutputDTMFUrgentFrame` to send a DTMF keypress quickly. The previous
-  `OutputDTMFFrame` queues the keypress with the rest of data frames.
-
-- Added `DTMFAggregator`, which aggregates keypad presses into
-  `TranscriptionFrame`s. Aggregation occurs after a timeout, termination key
-  press, or user interruption. You can specify the prefix of the
-  `TranscriptionFrame`.
-
-- Added new functions `DailyTransport.start_transcription()` and
-  `DailyTransport.stop_transcription()` to be able to start and stop Daily
-  transcription dynamically (maybe with different settings).
-
-### Changed
-
-- Reverted the default model for `GeminiMultimodalLiveLLMService` back to
-  `models/gemini-2.0-flash-live-001`.
-  `gemini-2.5-flash-preview-native-audio-dialog` has inconsistent performance.
-  You can opt in to using this model by setting the `model` arg.
-
-- Function calls are now cancelled by default if there's an interruption. To
-  disable this behavior you can set `cancel_on_interruption=False` when
-  registering the function call. Since function calls are executed as tasks you
-  can tell if a function call has been cancelled by catching the
-  `asyncio.CancelledError` exception (and don't forget to raise it again!).
-
-- Updated OpenTelemetry tracing attribute `metrics.ttfb_ms` to `metrics.ttfb`.
-  The attribute reports TTFB in seconds.
-
-### Deprecated
-
-- `DailyTransport.send_dtmf()` is deprecated, push an `OutputDTMFFrame` or an
-  `OutputDTMFUrgentFrame` instead.
-
-### Fixed
-
-- Fixed an issue with `ElevenLabsTTSService` where long responses would
-  continue generating output even after an interruption.
-
-- Fixed an issue with the `OpenAILLMContext` where non-Roman characters were
-  being incorrectly encoded as Unicode escape sequences. This was a logging
-  issue and did not impact the actual conversation.
-
-- In `AWSBedrockLLMService`, worked around a possible bug in AWS Bedrock where
-  a `toolConfig` is required if there has been previous tool use in the
-  messages array. This workaround includes a no_op factory function call is
-  used to satisfy the requirement.
-
-- Fixed `WebsocketClientTransport` to use `FrameProcessorSetup.task_manager`
-  instead of `StartFrame.task_manager`.
-
-### Performance
-
-- Use `uvloop` as the new event loop on Linux and macOS systems.
-
-## [0.0.68] - 2025-05-28
-
-### Added
-
-- Added `GoogleHttpTTSService` which uses Google's HTTP TTS API.
-
-- Added `TavusTransport`, a new transport implementation compatible with any
-  Pipecat pipeline. When using the `TavusTransport`the Pipecat bot will
-  connect in the same room as the Tavus Avatar and the user.
-
-- Added `PlivoFrameSerializer` to support Plivo calls. A full running example
-  has also been added to `examples/plivo-chatbot`.
-
-- Added `UserBotLatencyLogObserver`. This is an observer that logs the latency
-  between when the user stops speaking and when the bot starts speaking. This
-  gives you an initial idea on how quickly the AI services respond.
-
 - Added `SarvamTTSService`, which implements Sarvam AI's TTS API:
   https://docs.sarvam.ai/api-reference-docs/text-to-speech/convert.
 
@@ -903,8 +26,8 @@ asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
   correspond to the `StartFrame`, `StopFrame`, `EndFrame` and `CancelFrame`
   respectively.
 
-- Added additional languages to `LmntTTSService`. Languages include: `hi`,
-  `id`, `it`, `ja`, `nl`, `pl`, `ru`, `sv`, `th`, `tr`, `uk`, `vi`.
+- Added additional languages to `LmntTTSService`. Languages include: `hi`, `id`,
+  `it`, `ja`, `nl`, `pl`, `ru`, `sv`, `th`, `tr`, `uk`, `vi`.
 
 - Added a `model` parameter to the `LmntTTSService` constructor, allowing
   switching between LMNT models.
@@ -942,8 +65,8 @@ asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
   ```
 
   By default, Pipecat has implemented service decorators to trace execution of
-  STT, LLM, and TTS services. You can enable tracing by setting
-  `enable_tracing` to `True` in the PipelineTask.
+  STT, LLM, and TTS services. You can enable tracing by setting `enable_tracing`
+  to `True` in the PipelineTask.
 
 - Added `TurnTrackingObserver`, which tracks the start and end of a user/bot
   turn pair and emits events `on_turn_started` and `on_turn_stopped`
@@ -953,34 +76,6 @@ asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
 
 ### Changed
 
-- Upgraded `daily-python` to 0.19.1.
-
-- ⚠️ Updated `SmallWebRTCTransport` to align with how other transports handle
-  `on_client_disconnected`. Now, when the connection is closed and no reconnection
-  is attempted, `on_client_disconnected` is called instead of `on_client_close`. The
-  `on_client_close` callback is no longer used, use `on_client_disconnected` instead.
-
-- Check if `PipelineTask` has already been cancelled.
-
-- Don't raise an exception if event handler is not registered.
-
-- Upgraded `deepgram-sdk` to 4.1.0.
-
-- Updated `GoogleTTSService` to use Google's streaming TTS API. The default
-  voice also updated to `en-US-Chirp3-HD-Charon`.
-
-- ⚠️ Refactored the `TavusVideoService`, so it acts like a proxy, sending audio
-  to Tavus and receiving both audio and video. This will make
-  `TavusVideoService` usable with any Pipecat pipeline and with any transport.
-  This is a **breaking change**, check the
-  `examples/foundational/21a-tavus-layer-small-webrtc.py` to see how to use it.
-
-- `DailyTransport` now uses custom microphone audio tracks instead of virtual
-  microphones. Now, multiple Daily transports can be used in the same process.
-
-- `DailyTransport` now captures audio from individual participants instead of
-  the whole room. This allows identifying audio frames per participant.
-
 - Updated the default model for `AnthropicLLMService` to
   `claude-sonnet-4-20250514`.
 
@@ -1022,15 +117,6 @@ asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
 
 ### Fixed
 
-- Fixed a `DailyTransport` issue that was not allow capturing video frames if
-  framerate was greater than zero.
-
-- Fixed a `DeegramSTTService` connection issue when the user provided their own
-  `LiveOptions`.
-
-- Fixed a `DailyTransport` issue that would cause images needing resize to block
-  the event loop.
-
 - Fixed an issue with `ElevenLabsTTSService` where changing the model or voice
   while the service is running wasn't working.
 
@@ -1044,18 +130,11 @@ asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
 
 ### Performance
 
-- `DailyTransport`: process audio, video and events in separate tasks.
-
 - Don't create event handler tasks if no user event handlers have been
   registered.
 
 ### Other
 
-- It is now possible to run all (or most) foundational example with multiple
-  transports. By default, they run with P2P (Peer-To-Peer) WebRTC so you can try
-  everything locally. You can also run them with Daily or even with a Twilio
-  phone number.
-
 - Added foundation examples `07y-interruptible-minimax.py` and
   `07z-interruptible-sarvam.py`to show how to use the `MiniMaxHttpTTSService`
   and `SarvamTTSService`, respectively.

CONTRIBUTING.md

@@ -41,150 +41,36 @@ We use Ruff for code linting and formatting. Please ensure your code passes all
 
 We follow Google-style docstrings with these specific conventions:
 
-**Regular Classes:**
+- Class docstrings should fully document all parameters used in `__init__`
+- We don't require separate docstrings for `__init__` methods when parameters are documented in the class docstring
+- Property methods should have docstrings explaining their purpose and return value
 
-- Class docstring describes the class purpose and key functionality
-- `__init__` method has its own docstring with complete `Args:` section documenting all parameters
-- All public methods must have docstrings with `Args:` and `Returns:` sections as appropriate
-
-**Dataclasses:**
-
-- Class docstring describes the purpose and documents all fields in a `Parameters:` section
-- No `__init__` docstring (auto-generated)
-
-**Properties:**
-
-- Must have docstrings with `Returns:` section
-
-**Abstract Methods:**
-
-- Must have docstrings explaining what subclasses should implement
-
-**`__init__.py` Files:**
-
-- **Skip docstrings** for pure import/re-export modules
-- **Add brief docstrings** for top-level packages or those with initialization logic
-
-**Enums:**
-
-- Class docstring describes the enumeration purpose
-- Use `Parameters:` section to document each enum value and its meaning
-- No `__init__` docstring (Enums don't have custom constructors)
-
-**Code Examples in Docstrings:**
-
-- Use `Examples:` as a section header for multiple examples
-- Use descriptive text followed by double colons (`::`) for each example
-- **Always include a blank line after the `::"`**
-- Indent all code consistently within each block
-- Separate multiple examples with blank lines for readability
-
-**Lists and Bullets in Docstrings:**
-
-- Use dashes (`-`) for bullet points, not asterisks (`*`)
-- **Add a blank line before bullet lists** when they follow a colon
-- Use section headers like "Supported features:" or "Behavior:" before lists
-- For complex nested information, consider using paragraph format instead
-
-**Deprecations:**
-
-- Use `warnings.warn()` in code for runtime deprecation warnings
-- Add `.. deprecated::` directive in docstrings for documentation visibility
-- Include version information and describe current status
-- Describe parameters in present tense, use directive to indicate deprecation status
-
-#### Examples:
+Example of correctly documented class:
 
 ```python
-# Regular class
-class MyService(BaseService):
-    """Description of what the service does.
+class MyClass:
+    """Class description.
 
-    Provides detailed explanation of the service's functionality,
-    key features, and usage patterns.
+    Additional details about the class.
 
-    Supported features:
-
-    - Feature one with detailed explanation
-    - Feature two with additional context
-    - Feature three for advanced use cases
+    Args:
+        param1: Description of first parameter.
+        param2: Description of second parameter.
     """
 
-    def __init__(self, param1: str, old_param: str = None, **kwargs):
-        """Initialize the service.
-
-        Args:
-            param1: Description of param1.
-            old_param: Controls legacy behavior.
-
-                .. deprecated:: 1.2.0
-                    This parameter no longer has any effect and will be removed in version 2.0.
-
-            **kwargs: Additional arguments passed to parent.
-        """
-        if old_param is not None:
-            import warnings
-            warnings.warn(
-                "Parameter 'old_param' is deprecated and will be removed in version 2.0.",
-                DeprecationWarning,
-            )
-        super().__init__(**kwargs)
+    def __init__(self, param1, param2):
+        # No docstring required here as parameters are documented above
+        self.param1 = param1
+        self.param2 = param2
 
     @property
-    def sample_rate(self) -> int:
-        """Get the current sample rate.
+    def some_property(self) -> str:
+        """Get the formatted property value.
 
         Returns:
-            The sample rate in Hz.
+            A string representation of the property.
         """
-        return self._sample_rate
-
-    async def process_data(self, data: str) -> bool:
-        """Process the provided data.
-
-        Args:
-            data: The data to process.
-
-        Returns:
-            True if processing succeeded.
-        """
-        pass
-
-# Dataclass with code examples
-@dataclass
-class MessageFrame:
-    """Frame containing messages in OpenAI format.
-
-    Supports both simple and content list message formats.
-
-    Example::
-
-        [
-            {"role": "user", "content": "Hello"},
-            {"role": "assistant", "content": "Hi there!"}
-        ]
-
-    Parameters:
-        messages: List of messages in OpenAI format.
-    """
-
-    messages: List[dict]
-
-# Enum class
-class Status(Enum):
-    """Status codes for processing operations.
-
-    Parameters:
-        PENDING: Operation is queued but not started.
-        RUNNING: Operation is currently in progress.
-        COMPLETED: Operation finished successfully.
-        FAILED: Operation encountered an error.
-    """
-
-    PENDING = "pending"
-    RUNNING = "running"
-    COMPLETED = "completed"
-    FAILED = "failed"
+        return f"Property: {self.param1}"
 ```
 
 # Contributor Covenant Code of Conduct

Dockerfile

@@ -0,0 +1,40 @@
+# setup
+FROM python:3.11.5
+
+WORKDIR /app
+COPY requirements.txt /app
+COPY *.py /app
+COPY pyproject.toml /app
+
+COPY src/ /app/src/
+COPY examples/ /app/examples/
+
+WORKDIR /app
+RUN ls --recursive /app/
+RUN pip3 install --upgrade -r requirements.txt
+RUN python -m build .
+RUN pip3 install .
+RUN pip3 install gunicorn
+# If running on Ubuntu, Azure TTS requires some extra config
+# https://learn.microsoft.com/en-us/azure/ai-services/speech-service/quickstarts/setup-platform?pivots=programming-language-python&tabs=linux%2Cubuntu%2Cdotnetcli%2Cdotnet%2Cjre%2Cmaven%2Cnodejs%2Cmac%2Cpypi
+
+RUN wget -O - https://www.openssl.org/source/openssl-1.1.1w.tar.gz | tar zxf -
+WORKDIR openssl-1.1.1w
+RUN ./config --prefix=/usr/local
+RUN make -j $(nproc)
+RUN make install_sw install_ssldirs
+RUN ldconfig -v
+ENV SSL_CERT_DIR=/etc/ssl/certs
+
+#ENV LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
+RUN apt clean
+RUN apt-get update
+RUN apt-get -y install build-essential libssl-dev ca-certificates libasound2 wget
+
+ENV PYTHONUNBUFFERED=1
+
+WORKDIR /app
+
+EXPOSE 8000
+# run
+CMD ["gunicorn", "--workers=2", "--log-level", "debug", "--chdir", "examples/server", "--capture-output", "daily-bot-manager:app", "--bind=0.0.0.0:8000"]

MANIFEST.in

@@ -1,4 +0,0 @@
-prune docs
-prune examples
-prune scripts
-prune tests

README.md

@@ -8,8 +8,6 @@
 
 **Pipecat** is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.
 
-> Want to dive right in? Try the [quickstart](https://docs.pipecat.ai/getting-started/quickstart).
-
 ## 🚀 What You Can Build
 
 - **Voice Assistants** – natural, streaming conversations with AI
@@ -31,11 +29,11 @@
 ## 🎬 See it in action
 
 <p float="left">
-    <a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/simple-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/simple-chatbot/image.png" width="400" /></a>&nbsp;
-    <a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/storytelling-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/storytelling-chatbot/image.png" width="400" /></a>
+    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/simple-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/simple-chatbot/image.png" width="400" /></a>&nbsp;
+    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/storytelling-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/storytelling-chatbot/image.png" width="400" /></a>
     <br/>
-    <a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/translation-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/translation-chatbot/image.png" width="400" /></a>&nbsp;
-    <a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/moondream-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/moondream-chatbot/image.png" width="400" /></a>
+    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/translation-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/translation-chatbot/image.png" width="400" /></a>&nbsp;
+    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/moondream-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/moondream-chatbot/image.png" width="400" /></a>
 </p>
 
 ## 📱 Client SDKs
@@ -51,123 +49,97 @@ You can connect to Pipecat from any platform using our official SDKs:
 
 ## 🧩 Available services
 
-| Category            | Services                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
-| ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| Speech-to-Text      | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/server/services/stt/aws), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Cartesia](https://docs.pipecat.ai/server/services/stt/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [Fal Wizper](https://docs.pipecat.ai/server/services/stt/fal), [Gladia](https://docs.pipecat.ai/server/services/stt/gladia), [Google](https://docs.pipecat.ai/server/services/stt/google), [Groq (Whisper)](https://docs.pipecat.ai/server/services/stt/groq), [NVIDIA Riva](https://docs.pipecat.ai/server/services/stt/riva), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [SambaNova (Whisper)](https://docs.pipecat.ai/server/services/stt/sambanova), [Soniox](https://docs.pipecat.ai/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/server/services/stt/speechmatics), [Ultravox](https://docs.pipecat.ai/server/services/stt/ultravox), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper)                                                                                                                                                                                          |
-| LLMs                | [Anthropic](https://docs.pipecat.ai/server/services/llm/anthropic), [AWS](https://docs.pipecat.ai/server/services/llm/aws), [Azure](https://docs.pipecat.ai/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/server/services/llm/cerebras), [DeepSeek](https://docs.pipecat.ai/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/server/services/llm/grok), [Groq](https://docs.pipecat.ai/server/services/llm/groq), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [Ollama](https://docs.pipecat.ai/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/server/services/llm/openai), [OpenRouter](https://docs.pipecat.ai/server/services/llm/openrouter), [Perplexity](https://docs.pipecat.ai/server/services/llm/perplexity), [Qwen](https://docs.pipecat.ai/server/services/llm/qwen), [SambaNova](https://docs.pipecat.ai/server/services/llm/sambanova) [Together AI](https://docs.pipecat.ai/server/services/llm/together)                                                                                                                                                          |
-| Text-to-Speech      | [Async](https://docs.pipecat.ai/server/services/tts/asyncai), [AWS](https://docs.pipecat.ai/server/services/tts/aws), [Azure](https://docs.pipecat.ai/server/services/tts/azure), [Cartesia](https://docs.pipecat.ai/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/tts/elevenlabs), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [Groq](https://docs.pipecat.ai/server/services/tts/groq), [Inworld](https://docs.pipecat.ai/server/services/tts/inworld), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [MiniMax](https://docs.pipecat.ai/server/services/tts/minimax), [Neuphonic](https://docs.pipecat.ai/server/services/tts/neuphonic), [NVIDIA Riva](https://docs.pipecat.ai/server/services/tts/riva), [OpenAI](https://docs.pipecat.ai/server/services/tts/openai), [Piper](https://docs.pipecat.ai/server/services/tts/piper), [PlayHT](https://docs.pipecat.ai/server/services/tts/playht), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) |
-| Speech-to-Speech    | [AWS Nova Sonic](https://docs.pipecat.ai/server/services/s2s/aws), [Gemini Multimodal Live](https://docs.pipecat.ai/server/services/s2s/gemini), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
-| Transport           | [Daily (WebRTC)](https://docs.pipecat.ai/server/services/transport/daily), [FastAPI Websocket](https://docs.pipecat.ai/server/services/transport/fastapi-websocket), [SmallWebRTCTransport](https://docs.pipecat.ai/server/services/transport/small-webrtc), [WebSocket Server](https://docs.pipecat.ai/server/services/transport/websocket-server), Local                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
-| Serializers         | [Plivo](https://docs.pipecat.ai/server/utilities/serializers/plivo), [Twilio](https://docs.pipecat.ai/server/utilities/serializers/twilio), [Telnyx](https://docs.pipecat.ai/server/utilities/serializers/telnyx)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
-| Video               | [HeyGen](https://docs.pipecat.ai/server/services/video/heygen), [Tavus](https://docs.pipecat.ai/server/services/video/tavus), [Simli](https://docs.pipecat.ai/server/services/video/simli)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
-| Memory              | [mem0](https://docs.pipecat.ai/server/services/memory/mem0)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
-| Vision & Image      | [fal](https://docs.pipecat.ai/server/services/image-generation/fal), [Google Imagen](https://docs.pipecat.ai/server/services/image-generation/fal), [Moondream](https://docs.pipecat.ai/server/services/vision/moondream)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
-| Audio Processing    | [Silero VAD](https://docs.pipecat.ai/server/utilities/audio/silero-vad-analyzer), [Krisp](https://docs.pipecat.ai/server/utilities/audio/krisp-filter), [Koala](https://docs.pipecat.ai/server/utilities/audio/koala-filter), [Noisereduce](https://docs.pipecat.ai/server/utilities/audio/noisereduce-filter)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
-| Analytics & Metrics | [OpenTelemetry](https://docs.pipecat.ai/server/utilities/opentelemetry), [Sentry](https://docs.pipecat.ai/server/services/analytics/sentry)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
+| Category            | Services                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
+| ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| Speech-to-Text      | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/server/services/stt/aws), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [Fal Wizper](https://docs.pipecat.ai/server/services/stt/fal), [Gladia](https://docs.pipecat.ai/server/services/stt/gladia), [Google](https://docs.pipecat.ai/server/services/stt/google), [Groq (Whisper)](https://docs.pipecat.ai/server/services/stt/groq), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [Parakeet (NVIDIA)](https://docs.pipecat.ai/server/services/stt/parakeet), [Ultravox](https://docs.pipecat.ai/server/services/stt/ultravox), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper)                                                                                                                                                                                                                                                                                            |
+| LLMs                | [Anthropic](https://docs.pipecat.ai/server/services/llm/anthropic), [AWS](https://docs.pipecat.ai/server/services/llm/aws), [Azure](https://docs.pipecat.ai/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/server/services/llm/cerebras), [DeepSeek](https://docs.pipecat.ai/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/server/services/llm/grok), [Groq](https://docs.pipecat.ai/server/services/llm/groq), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [Ollama](https://docs.pipecat.ai/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/server/services/llm/openai), [OpenRouter](https://docs.pipecat.ai/server/services/llm/openrouter), [Perplexity](https://docs.pipecat.ai/server/services/llm/perplexity), [Qwen](https://docs.pipecat.ai/server/services/llm/qwen), [Together AI](https://docs.pipecat.ai/server/services/llm/together)                                                 |
+| Text-to-Speech      | [AWS](https://docs.pipecat.ai/server/services/tts/aws), [Azure](https://docs.pipecat.ai/server/services/tts/azure), [Cartesia](https://docs.pipecat.ai/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/tts/elevenlabs), [FastPitch (NVIDIA)](https://docs.pipecat.ai/server/services/tts/fastpitch), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [MiniMax](https://docs.pipecat.ai/server/services/tts/minimax), [Neuphonic](https://docs.pipecat.ai/server/services/tts/neuphonic), [OpenAI](https://docs.pipecat.ai/server/services/tts/openai), [Piper](https://docs.pipecat.ai/server/services/tts/piper), [PlayHT](https://docs.pipecat.ai/server/services/tts/playht), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) |
+| Speech-to-Speech    | [AWS Nova Sonic](https://docs.pipecat.ai/server/services/s2s/aws), [Gemini Multimodal Live](https://docs.pipecat.ai/server/services/s2s/gemini), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
+| Transport           | [Daily (WebRTC)](https://docs.pipecat.ai/server/services/transport/daily), [FastAPI Websocket](https://docs.pipecat.ai/server/services/transport/fastapi-websocket), [SmallWebRTCTransport](https://docs.pipecat.ai/server/services/transport/small-webrtc), [WebSocket Server](https://docs.pipecat.ai/server/services/transport/websocket-server), Local                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
+| Video               | [Tavus](https://docs.pipecat.ai/server/services/video/tavus), [Simli](https://docs.pipecat.ai/server/services/video/simli)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
+| Memory              | [mem0](https://docs.pipecat.ai/server/services/memory/mem0)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
+| Vision & Image      | [fal](https://docs.pipecat.ai/server/services/image-generation/fal), [Google Imagen](https://docs.pipecat.ai/server/services/image-generation/fal), [Moondream](https://docs.pipecat.ai/server/services/vision/moondream)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
+| Audio Processing    | [Silero VAD](https://docs.pipecat.ai/server/utilities/audio/silero-vad-analyzer), [Krisp](https://docs.pipecat.ai/server/utilities/audio/krisp-filter), [Koala](https://docs.pipecat.ai/server/utilities/audio/koala-filter), [Noisereduce](https://docs.pipecat.ai/server/utilities/audio/noisereduce-filter)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
+| Analytics & Metrics | [Sentry](https://docs.pipecat.ai/server/services/analytics/sentry)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
 
 📚 [View full services documentation →](https://docs.pipecat.ai/server/services/supported-services)
 
 ## ⚡ Getting started
 
-You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.
+You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you’re ready.
 
-1. Install uv
+```shell
+# Install the module
+pip install pipecat-ai
 
-   ```bash
-   curl -LsSf https://astral.sh/uv/install.sh | sh
-   ```
+# Set up your environment
+cp dot-env.template .env
+```
 
-   > **Need help?** Refer to the [uv install documentation](https://docs.astral.sh/uv/getting-started/installation/).
+To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:
 
-2. Install the module
-
-   ```bash
-   # For new projects
-   uv init my-pipecat-app
-   cd my-pipecat-app
-   uv add pipecat-ai
-
-   # Or for existing projects
-   uv add pipecat-ai
-   ```
-
-3. Set up your environment
-
-   ```bash
-   cp env.example .env
-   ```
-
-4. To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:
-
-   ```bash
-   uv add "pipecat-ai[option,...]"
-   ```
-
-> **Using pip?** You can still use `pip install pipecat-ai` and `pip install "pipecat-ai[option,...]"` to get set up.
+```shell
+pip install "pipecat-ai[option,...]"
+```
 
 ## 🧪 Code examples
 
 - [Foundational](https://github.com/pipecat-ai/pipecat/tree/main/examples/foundational) — small snippets that build on each other, introducing one or two concepts at a time
-- [Example apps](https://github.com/pipecat-ai/pipecat-examples) — complete applications that you can use as starting points for development
+- [Example apps](https://github.com/pipecat-ai/pipecat/tree/main/examples/) — complete applications that you can use as starting points for development
 
-## 🛠️ Contributing to the framework
+## 🛠️ Hacking on the framework itself
 
-### Prerequisites
+1. Set up a virtual environment before following these instructions. From the root of the repo:
 
-**Python Version:** 3.10+
-
-### Setup Steps
-
-1. Clone the repository and navigate to it:
-
-   ```bash
-   git clone https://github.com/pipecat-ai/pipecat.git
-   cd pipecat
+   ```shell
+   python3 -m venv venv
+   source venv/bin/activate
    ```
 
-2. Install development and testing dependencies:
+2. Install the development dependencies:
 
-   ```bash
-   uv sync --group dev --all-extras --no-extra gstreamer --no-extra krisp --no-extra local
+   ```shell
+   pip install -r dev-requirements.txt
    ```
 
-3. Install the git pre-commit hooks:
+3. Install the git pre-commit hooks (these help ensure your code follows project rules):
 
-   ```bash
-   uv run pre-commit install
+   ```shell
+   pre-commit install
    ```
 
-### Python 3.13+ Compatibility
+4. Install the `pipecat-ai` package locally in editable mode:
 
-Some features require PyTorch, which doesn't yet support Python 3.13+. Install using:
+   ```shell
+   pip install -e .
+   ```
 
-```bash
-uv sync --group dev --all-extras \
-  --no-extra gstreamer \
-  --no-extra krisp \
-  --no-extra local \
-  --no-extra local-smart-turn \
-  --no-extra mlx-whisper \
-  --no-extra moondream \
-  --no-extra ultravox
-```
+   > The `-e` or `--editable` option allows you to modify the code without reinstalling.
 
-> **Tip:** For full compatibility, use Python 3.12: `uv python pin 3.12`
+5. Include optional dependencies as needed. For example:
 
-> **Note**: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.
+   ```shell
+   pip install -e ".[daily,deepgram,cartesia,openai,silero]"
+   ```
+
+6. (Optional) If you want to use this package from another directory:
+
+   ```shell
+   pip install "path_to_this_repo[option,...]"
+   ```
 
 ### Running tests
 
-To run all tests, from the root directory:
+Install the test dependencies:
 
-```bash
-uv run pytest
+```shell
+pip install -r test-requirements.txt
 ```
 
-Run a specific test suite:
+From the root directory, run:
 
-```bash
-uv run pytest tests/test_name.py
+```shell
+pytest
 ```
 
 ### Setting up your editor

dev-requirements.txt

@@ -0,0 +1,13 @@
+build~=1.2.2
+coverage~=7.6.12
+grpcio-tools~=1.67.1
+pip-tools~=7.4.1
+pre-commit~=4.0.1
+pyright~=1.1.397
+pytest~=8.3.4
+pytest-asyncio~=0.25.3
+pytest-aiohttp==1.1.0
+ruff~=0.11.1
+setuptools~=70.0.0
+setuptools_scm~=8.1.0
+python-dotenv~=1.0.1

docs/api/build-docs.sh

@@ -1,27 +1,10 @@
 #!/bin/bash
 
-# Build docs using uv
-echo "Installing dependencies with uv..."
-uv sync --group docs --all-extras --no-extra krisp --no-extra gstreamer --no-extra ultravox --no-extra local_smart_turn --no-extra moondream --no-extra riva --no-extra mlx-whisper
-
-# Check if sphinx-build is available
-if ! uv run sphinx-build --version &> /dev/null; then
-    echo "Error: sphinx-build is not available" >&2
-    exit 1
-fi
-
 # Clean previous build
 rm -rf _build
 
-echo "Building documentation..."
 # Build docs matching ReadTheDocs configuration
-uv run sphinx-build -b html -d _build/doctrees . _build/html -W --keep-going
+sphinx-build -b html -d _build/doctrees . _build/html -W --keep-going
 
-if [ $? -eq 0 ]; then
-    echo "Documentation built successfully!"
-    # Open docs (MacOS)
-    open _build/html/index.html
-else
-    echo "Documentation build failed!" >&2
-    exit 1
-fi
+# Open docs (MacOS)
+open _build/html/index.html

docs/api/conf.py

@@ -1,7 +1,5 @@
 import logging
-import os
 import sys
-from datetime import datetime
 from pathlib import Path
 
 # Configure logging
@@ -15,8 +13,7 @@ sys.path.insert(0, str(project_root / "src"))
 
 # Project information
 project = "pipecat-ai"
-current_year = datetime.now().year
-copyright = f"2024-{current_year}, Daily" if current_year > 2024 else "2024, Daily"
+copyright = "2024, Daily"
 author = "Daily"
 
 # General configuration
@@ -27,60 +24,107 @@ extensions = [
     "sphinx.ext.intersphinx",
 ]
 
-suppress_warnings = [
-    "autodoc.mocked_object",
-    "toc.not_included",
-]
-
 # Napoleon settings
 napoleon_google_docstring = True
+napoleon_numpy_docstring = False
 napoleon_include_init_with_doc = True
 
 # AutoDoc settings
 autodoc_default_options = {
     "members": True,
     "member-order": "bysource",
-    "undoc-members": False,
-    "exclude-members": "__weakref__,model_config",
+    "special-members": "__init__",
+    "undoc-members": True,
+    "exclude-members": "__weakref__",
+    "no-index": True,
     "show-inheritance": True,
 }
 
 # Mock imports for optional dependencies
 autodoc_mock_imports = [
-    # Krisp - has build issues on some platforms
-    "pipecat_ai_krisp",
+    "riva",
+    "livekit",
+    "pyht",  # Base PlayHT package
+    "pyht.async_client",  # PlayHT specific imports
+    "pyht.client",
+    "pyht.protos",
+    "pyht.protos.api_pb2",
+    "pipecat_ai_playht",  # PlayHT wrapper
+    "aiortc",
+    "aiortc.mediastreams",
+    "cv2",
+    "av",
+    "pyneuphonic",
+    "mem0",
+    "mlx_whisper",
+    "anthropic",
+    "assemblyai",
+    "boto3",
+    "azure",
+    "cartesia",
+    "deepgram",
+    "elevenlabs",
+    "fal",
+    "gladia",
+    "google",
     "krisp",
-    # System-specific GUI libraries
+    "langchain",
+    "lmnt",
+    "noisereduce",
+    "openai",
+    "openpipe",
+    "simli",
+    "soundfile",
+    "pipecat_ai_krisp",
+    "pyaudio",
     "_tkinter",
     "tkinter",
-    # Platform-specific audio libraries (if needed)
-    "gi",
-    "gi.require_version",
-    "gi.repository",
-    # OpenCV - sometimes has import issues during docs build
-    "cv2",
-    # Heavy ML packages excluded from ReadTheDocs
-    # ultravox dependencies
+    "daily",
+    "daily_python",
+    "pydantic.BaseModel",
+    "pydantic.Field",
+    "pydantic._internal._model_construction",
+    "pydantic._internal._fields",
+    # Moondream dependencies
+    "torch",
+    "transformers",
+    "intel_extension_for_pytorch",
+    # Ultravox dependencies
+    "huggingface_hub",
     "vllm",
     "vllm.engine.arg_utils",
-    # local-smart-turn dependencies
-    "coremltools",
-    "coremltools.models",
-    "coremltools.models.MLModel",
-    "torch",
-    "torch.nn",
-    "torch.nn.functional",
-    "torchaudio",
-    # moondream dependencies
-    "transformers",
     "transformers.AutoTokenizer",
-    "transformers.AutoFeatureExtractor",
-    "AutoFeatureExtractor",
-    "timm",
-    "einops",
-    "intel_extension_for_pytorch",
-    "huggingface_hub",
-    # riva dependencies
+    # Langchain dependencies
+    "langchain_core",
+    "langchain_core.messages",
+    "langchain_core.runnables",
+    "langchain_core.messages.AIMessageChunk",
+    "langchain_core.runnables.Runnable",
+    # LiveKit dependencies
+    "livekit",
+    "livekit.rtc",
+    "livekit_api",
+    "livekit_protocol",
+    "tenacity",
+    "tenacity.retry",
+    "tenacity.stop_after_attempt",
+    "tenacity.wait_exponential",
+    "rtc",
+    "rtc.Room",
+    "rtc.RoomOptions",
+    "rtc.AudioSource",
+    "rtc.LocalAudioTrack",
+    "rtc.TrackPublishOptions",
+    "rtc.TrackSource",
+    "rtc.AudioStream",
+    "rtc.AudioFrameEvent",
+    "rtc.AudioFrame",
+    "rtc.Track",
+    "rtc.TrackKind",
+    "rtc.RemoteParticipant",
+    "rtc.RemoteTrackPublication",
+    "rtc.DataPacket",
+    # Riva dependencies
     "riva",
     "riva.client",
     "riva.client.Auth",
@@ -90,45 +134,96 @@ autodoc_mock_imports = [
     "riva.client.AudioEncoding",
     "riva.client.proto.riva_tts_pb2",
     "riva.client.SpeechSynthesisService",
-    # MLX dependencies (Apple Silicon specific)
-    "mlx",
-    "mlx_whisper",  # Note: might need underscore format too
+    # Local CoreML Smart Turn dependencies
+    "coremltools",
+    "coremltools.models",
+    "coremltools.models.MLModel",
+    "torch",
+    "torch.nn",
+    "torch.nn.functional",
+    "transformers",
+    "transformers.AutoFeatureExtractor",
+    # Also add specific classes that are imported
+    "AutoFeatureExtractor",
 ]
 
 # HTML output settings
 html_theme = "sphinx_rtd_theme"
-html_static_path = ["_static"] if os.path.exists("_static") else []
-autodoc_typehints = "signature"  # Show type hints in the signature only, not in the docstring
+html_static_path = ["_static"]
+autodoc_typehints = "description"
 html_show_sphinx = False
 
 
-def import_core_modules():
-    """Import core pipecat modules for autodoc to discover."""
-    core_modules = [
-        "pipecat",
-        "pipecat.frames",
-        "pipecat.pipeline",
-        "pipecat.processors",
-        "pipecat.services",
-        "pipecat.transports",
-        "pipecat.audio",
-        "pipecat.adapters",
-        "pipecat.clocks",
-        "pipecat.metrics",
-        "pipecat.observers",
-        "pipecat.runner",
-        "pipecat.serializers",
-        "pipecat.sync",
-        "pipecat.transcriptions",
-        "pipecat.utils",
-    ]
+def verify_modules():
+    """Verify that required modules are available."""
+    required_modules = {
+        "services": [
+            "assemblyai",
+            "aws",
+            "cartesia",
+            "deepgram",
+            "google",
+            "lmnt",
+            "riva",
+            "simli",
+        ],
+        "serializers": ["livekit"],
+        "vad": ["silero", "vad_analyzer"],
+        "transports": {
+            "services": ["daily", "livekit"],
+            "local": ["audio", "tk"],
+            "network": ["fastapi_websocket", "websocket_server"],
+        },
+    }
 
-    for module_name in core_modules:
-        try:
-            __import__(module_name)
-            logger.info(f"Successfully imported {module_name}")
-        except ImportError as e:
-            logger.warning(f"Failed to import {module_name}: {e}")
+    # Skip importing modules that are in autodoc_mock_imports
+    skipped_modules = set(autodoc_mock_imports)
+
+    missing = []
+    for category, modules in required_modules.items():
+        if isinstance(modules, dict):
+            # Handle nested structure
+            for subcategory, submodules in modules.items():
+                for module in submodules:
+                    # Check if module is in autodoc_mock_imports
+                    if (
+                        f"pipecat.{category}.{subcategory}.{module}" in skipped_modules
+                        or module in skipped_modules
+                    ):
+                        logger.info(
+                            f"Skipping import of mocked module: pipecat.{category}.{subcategory}.{module}"
+                        )
+                        continue
+
+                    try:
+                        __import__(f"pipecat.{category}.{subcategory}.{module}")
+                        logger.info(
+                            f"Successfully imported pipecat.{category}.{subcategory}.{module}"
+                        )
+                    except (ImportError, TypeError, NameError) as e:
+                        missing.append(f"pipecat.{category}.{subcategory}.{module}")
+                        logger.warning(
+                            f"Optional module not available: pipecat.{category}.{subcategory}.{module} - {str(e)}"
+                        )
+        else:
+            # Handle flat structure
+            for module in modules:
+                # Check if module is in autodoc_mock_imports
+                if f"pipecat.{category}.{module}" in skipped_modules or module in skipped_modules:
+                    logger.info(f"Skipping import of mocked module: pipecat.{category}.{module}")
+                    continue
+
+                try:
+                    __import__(f"pipecat.{category}.{module}")
+                    logger.info(f"Successfully imported pipecat.{category}.{module}")
+                except (ImportError, TypeError, NameError) as e:
+                    missing.append(f"pipecat.{category}.{module}")
+                    logger.warning(
+                        f"Optional module not available: pipecat.{category}.{module} - {str(e)}"
+                    )
+
+    if missing:
+        logger.warning(f"Some optional modules are not available: {missing}")
 
 
 def clean_title(title: str) -> str:
@@ -140,7 +235,36 @@ def clean_title(title: str) -> str:
     parts = title.split(".")
     title = parts[-1]
 
-    return title
+    # Special cases for service names and common acronyms
+    special_cases = {
+        "ai": "AI",
+        "aws": "AWS",
+        "api": "API",
+        "vad": "VAD",
+        "assemblyai": "AssemblyAI",
+        "deepgram": "Deepgram",
+        "elevenlabs": "ElevenLabs",
+        "openai": "OpenAI",
+        "openpipe": "OpenPipe",
+        "playht": "PlayHT",
+        "xtts": "XTTS",
+        "lmnt": "LMNT",
+    }
+
+    # Check if the entire title is a special case
+    if title.lower() in special_cases:
+        return special_cases[title.lower()]
+
+    # Otherwise, capitalize each word
+    words = title.split("_")
+    cleaned_words = []
+    for word in words:
+        if word.lower() in special_cases:
+            cleaned_words.append(special_cases[word.lower()])
+        else:
+            cleaned_words.append(word.capitalize())
+
+    return " ".join(cleaned_words)
 
 
 def setup(app):
@@ -165,8 +289,9 @@ def setup(app):
 
     excludes = [
         str(project_root / "src/pipecat/pipeline/to_be_updated"),
-        str(project_root / "src/pipecat/examples"),
-        str(project_root / "src/pipecat/tests"),
+        str(project_root / "src/pipecat/processors/gstreamer"),
+        str(project_root / "src/pipecat/services/to_be_updated"),
+        str(project_root / "src/pipecat/vad"),  # deprecated
         "**/test_*.py",
         "**/tests/*.py",
     ]
@@ -207,4 +332,5 @@ def setup(app):
         logger.error(f"Error generating API documentation: {e}", exc_info=True)
 
 
-import_core_modules()
+# Run module verification
+verify_modules()

docs/api/index.rst

@@ -1,20 +1,60 @@
-Pipecat API Reference
-=====================
+Pipecat API Reference Docs
+==========================
 
-Welcome to the Pipecat API reference.
+Welcome to Pipecat's API reference documentation!
 
-Use the navigation on the left to browse modules, or search using the search box.
-
-**New to Pipecat?** Check out the `main documentation <https://docs.pipecat.ai>`_ for tutorials, guides, and client SDK information.
+Pipecat is an open source framework for building voice and multimodal assistants.
+It provides a flexible pipeline architecture for connecting various AI services,
+audio processing, and transport layers.
 
 Quick Links
 -----------
 
 * `GitHub Repository <https://github.com/pipecat-ai/pipecat>`_
-* `Join our Community <https://discord.gg/pipecat>`_
+* `Website <https://pipecat.ai>`_
+
+API Reference
+-------------
+
+Core Components
+~~~~~~~~~~~~~~~
+
+* :mod:`Frames <pipecat.frames>`
+* :mod:`Processors <pipecat.processors>`
+* :mod:`Pipeline <pipecat.pipeline>`
+
+Audio Processing
+~~~~~~~~~~~~~~~~
+
+* :mod:`Audio <pipecat.audio>`
+
+Services
+~~~~~~~~
+
+* :mod:`Services <pipecat.services>`
+
+Transport & Serialization
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+* :mod:`Transports <pipecat.transports>`
+   * :mod:`Local <pipecat.transports.local>`
+   * :mod:`Network <pipecat.transports.network>`
+   * :mod:`Services <pipecat.transports.services>`
+* :mod:`Serializers <pipecat.serializers>`
+
+Utilities
+~~~~~~~~~
+
+* :mod:`Adapters <pipecat.adapters>`
+* :mod:`Clocks <pipecat.clocks>`
+* :mod:`Metrics <pipecat.metrics>`
+* :mod:`Observers <pipecat.observers>`
+* :mod:`Sync <pipecat.sync>`
+* :mod:`Transcriptions <pipecat.transcriptions>`
+* :mod:`Utils <pipecat.utils>`
 
 .. toctree::
-   :maxdepth: 2
+   :maxdepth: 3
    :caption: API Reference
    :hidden:
 
@@ -26,10 +66,16 @@ Quick Links
    Observers <api/pipecat.observers>
    Pipeline <api/pipecat.pipeline>
    Processors <api/pipecat.processors>
-   Runner <api/pipecat.runner>
    Serializers <api/pipecat.serializers>
    Services <api/pipecat.services>
    Sync <api/pipecat.sync>
    Transcriptions <api/pipecat.transcriptions>
    Transports <api/pipecat.transports>
-   Utils <api/pipecat.utils>
+   Utils <api/pipecat.utils>
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`

docs/api/requirements.txt

@@ -0,0 +1,53 @@
+# Sphinx dependencies
+sphinx>=8.1.3
+sphinx-rtd-theme
+sphinx-markdown-builder
+sphinx-autodoc-typehints
+toml
+
+# Install all extras individually to ensure they're properly resolved
+pipecat-ai[anthropic]
+pipecat-ai[assemblyai]
+pipecat-ai[aws]
+pipecat-ai[azure]
+pipecat-ai[cartesia]
+pipecat-ai[cerebras]
+pipecat-ai[deepseek]
+pipecat-ai[daily]
+pipecat-ai[deepgram]
+pipecat-ai[elevenlabs]
+pipecat-ai[fal]
+pipecat-ai[fireworks]
+pipecat-ai[fish]
+pipecat-ai[gladia]
+pipecat-ai[google]
+pipecat-ai[grok]
+pipecat-ai[groq]
+# pipecat-ai[krisp] # Mocked
+pipecat-ai[koala]
+# pipecat-ai[langchain] # Mocked
+# pipecat-ai[livekit] # Mocked
+pipecat-ai[lmnt]
+pipecat-ai[local]
+# pipecat-ai[local-smart-turn] # Mocked
+# pipecat-ai[mem0] # Mocked
+# pipecat-ai[mlx-whisper] # Mocked
+# pipecat-ai[moondream] # Mocked
+pipecat-ai[nim]
+# pipecat-ai[neuphonic] # Mocked
+pipecat-ai[noisereduce]
+pipecat-ai[openai]
+# pipecat-ai[openpipe]
+# pipecat-ai[playht] # Mocked due to grpcio conflict with riva
+pipecat-ai[qwen]
+pipecat-ai[remote-smart-turn]
+# pipecat-ai[riva] # Mocked
+pipecat-ai[silero]
+pipecat-ai[simli]
+pipecat-ai[soundfile]
+pipecat-ai[tavus]
+pipecat-ai[together]
+# pipecat-ai[ultravox] # Mocked
+# pipecat-ai[webrtc] # Mocked
+pipecat-ai[websocket]
+pipecat-ai[whisper]

dot-env.template

@@ -1,10 +1,6 @@
 # Anthropic
 ANTHROPIC_API_KEY=...
 
-# Async
-ASYNCAI_API_KEY=...
-ASYNCAI_VOICE_ID=...
-
 # AWS
 AWS_SECRET_ACCESS_KEY=...
 AWS_ACCESS_KEY_ID=...
@@ -29,9 +25,6 @@ CARTESIA_API_KEY=...
 DAILY_API_KEY=...
 DAILY_SAMPLE_ROOM_URL=https://...
 
-# Deepgram
-DEEPGRAM_API_KEY=...
-
 # ElevenLabs
 ELEVENLABS_API_KEY=...
 ELEVENLABS_VOICE_ID=...
@@ -47,13 +40,6 @@ FIREWORKS_API_KEY=...
 
 # Gladia
 GLADIA_API_KEY=...
-GLADIA_REGION=...
-
-# Google
-GOOGLE_API_KEY=...
-GOOGLE_CLOUD_PROJECT_ID=...
-GOOGLE_TEST_CREDENTIALS=...
-GOOGLE_VERTEX_TEST_CREDENTIALS=...
 
 # LMNT
 LMNT_API_KEY=...
@@ -90,9 +76,6 @@ GROQ_API_KEY=...
 # Grok
 GROK_API_KEY=...
 
-# Inworld
-INWORLD_API_KEY=...
-
 # Together.ai
 TOGETHER_API_KEY=...
 
@@ -124,19 +107,4 @@ MINIMAX_API_KEY=...
 MINIMAX_GROUP_ID=...
 
 # Sarvam AI
-SARVAM_API_KEY=...
-
-# Soniox
-SONIOX_API_KEY=
-
-# Speechmatics
-SPEECHMATICS_API_KEY=...
-
-# SambaNova
-SAMBANOVA_API_KEY=...
-
-# Sentry
-SENTRY_DSN=...
-
-# Heygen
-HEYGEN_API_KEY=...
+SARVAM_API_KEY=...

examples/README.md

@@ -1,31 +1,88 @@
-# Pipecat Examples
 
-This directory contains examples to help you learn how to build with Pipecat.
 
-## Getting Started
+# Pipecat — Examples
 
-New to Pipecat? Start here:
+## Foundational snippets
+Small snippets that build on each other, introducing one or two concepts at a time.
 
-- **[Quickstart](quickstart/)** - Get your first voice AI bot running in 5 minutes _(coming soon)_
-- **[Client/Server Web](client-server-web/)** - Learn to build web applications with Pipecat's client SDKs _(coming soon)_
-- **[Phone Bot with Twilio](phone-bot-twilio/)** - Connect your bot to a phone number _(coming soon)_
+➡️ [Take a look](https://github.com/pipecat-ai/pipecat/tree/main/examples/foundational)
 
-## Foundational Examples
+## Chatbot examples
+Collection of self-contained real-time voice and video AI demo applications built with Pipecat.
 
-Single-file examples that introduce core Pipecat concepts one at a time. These examples:
+### Quickstart
 
-- Build on each other progressively
-- Focus on specific features or integrations
-- Are used for testing with every Pipecat release
+Each project has its own set of dependencies and configuration variables. They intentionally avoids shared code across projects — you can grab whichever demo folder you want to work with as a starting point.
 
-See the **[Foundational Examples README](foundational/)** for the complete list.
+We recommend you start with a virtual environment:
 
-## More Advanced Examples
+```shell
+cd pipecat-ai/examples/simple-chatbot
 
-Ready to explore complex use cases? Visit **[pipecat-examples](https://github.com/pipecat-ai/pipecat-examples)** for:
+python -m venv venv
 
-- Production-ready applications
-- Multi-platform client implementations
-- Telephony integrations
-- Multimodal and creative applications
-- Deployment and monitoring examples
+source venv/bin/activate
+
+pip install -r requirements.txt
+```
+
+Next, follow the steps in the README for each demo.
+
+ℹ️ Make sure you `pip install -r requirements.txt` for each demo project, so you can be sure to have the necessary service dependencies that extend the functionality of Pipecat. You can read more about the framework architecture [here](https://github.com/pipecat-ai/pipecat/tree/main/docs).
+
+## Projects:
+
+| Project                                      | Description                                                                                                                                | Services                                                          |
+|----------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------|
+| [Simple Chatbot](simple-chatbot)             | Basic voice-driven conversational bot. A good starting point for learning the flow of the framework.                                       | Deepgram, ElevenLabs, OpenAI, Daily, Daily Prebuilt UI            |
+| [Storytelling Chatbot](storytelling-chatbot) | Stitches together multiple third-party services to create a collaborative storytime experience.                                            | Deepgram, ElevenLabs, OpenAI, Fal, Daily, Custom UI               |
+| [Translation Chatbot](translation-chatbot)   | Listens for user speech, then translates that speech to Spanish and speaks the translation back. Demonstrates multi-participant use-cases. | Deepgram, Azure, OpenAI, Daily, Daily Prebuilt UI                 |
+| [Moondream Chatbot](moondream-chatbot)       | Demonstrates how to add vision capabilities to GPT4. **Note: works best with a GPU**                                                       | Deepgram, ElevenLabs, OpenAI, Moondream, Daily, Daily Prebuilt UI |
+| [Patient intake](patient-intake)             | A chatbot that can call functions in response to user input.                                                                               | Deepgram, ElevenLabs, OpenAI, Daily, Daily Prebuilt UI            |
+| [Phone Chatbot](phone-chatbot)             | A chatbot that connects to PSTN/SIP phone calls, powered by Daily or Twilio.                                                                    | Deepgram, ElevenLabs, OpenAI, Daily, Twilio                       |
+| [Twilio Chatbot](twilio-chatbot)             | A chatbot that connects to an incoming phone call from Twilio.                                                                             | Deepgram, ElevenLabs, OpenAI, Daily, Twilio                       |
+| [studypal](studypal)                         | A chatbot to have a conversation about any article on the web                                                                              |                                                                   |
+| [WebSocket Chatbot Server](websocket-server) | A real-time websocket server that handles audio streaming and bot interactions with speech-to-text and text-to-speech capabilities. | Cartesia, Deepgram, OpenAI, Websockets |
+
+> [!IMPORTANT]
+> These example projects use Daily as a WebRTC transport and can be joined using their hosted Prebuilt UI.
+> It provides a quick way to join a real-time session with your bot and test your ideas without building any frontend code. If you'd like to see an example of a custom UI, try Storybot.
+
+
+## FAQ
+
+### Deployment
+
+For each of these demos we've included a `Dockerfile`. Out of the box, this should provide everything needed to get the respective demo running on a VM:
+
+```shell
+docker build username/app:tag .
+
+docker run -p 7860:7860 --env-file ./.env username/app:tag
+
+docker push ...
+```
+
+### SSL
+
+If you're working with a custom UI (such as with the Storytelling Chatbot), it's important to ensure your deployment platform supports HTTPS, as accessing user devices such as mics and webcams requires SSL.
+
+If you try to run a custom UI without SSL, you may see an error in the console telling you that `navigator` is undefined, or no devices are available.
+
+### Are these examples production ready?
+
+Yes, kind of.
+
+These demos attempt to keep things simple and are unopinionated regarding environment or scalability.
+
+We're using FastAPI to spawn a subprocess for the bots / agents — useful for small tests, but not so great for production grade apps with many concurrent users. You can see how this works in each project's `start` endpoint in `server.py`.
+
+Creating virtualized worker pools and on-demand instances is out of scope for these examples, but we hope to add some examples to this repo soon!
+
+For projects that have CUDA as a requirement, such as Moondream Chatbot, be sure to deploy to a GPU-powered platform (such as [fly.io](https://fly.io) or [Runpod](https://runpod.io).)
+
+## Getting help
+
+➡️ [Join our Discord](https://discord.gg/pipecat)
+
+➡️ [Reach us on Twitter](https://x.com/pipecat_ai)

examples/bot-ready-signalling/README.md

@@ -0,0 +1,45 @@
+# Bot ready signaling
+
+A simple Pipecat example demonstrating how to handle signaling between the client and the bot, 
+ensuring that the bot starts sending audio only when the client is available, 
+thereby avoiding the risk of cutting off the beginning of the audio.
+
+## Quick Start
+
+### First, start the bot server:
+
+1. Navigate to the server directory:
+   ```bash
+   cd server
+   ```
+2. Create and activate a virtual environment:
+   ```bash
+   python3 -m venv venv
+   source venv/bin/activate  # On Windows: venv\Scripts\activate
+   ```
+3. Install requirements:
+   ```bash
+   pip install -r requirements.txt
+   ```
+4. Copy env.example to .env and configure:
+   - Add your API keys
+5. Start the server:
+   ```bash
+   python server.py
+   ```
+
+### Next, connect using the client app:
+
+For client-side setup, refer to the [JavaScript Guide](client/javascript/README.md).
+
+## Important Note
+
+Ensure the bot server is running before using any client implementations.
+
+## Requirements
+
+- Python 3.10+
+- Node.js 16+ (for JavaScript)
+- Daily API key
+- Cartesia API key
+- Modern web browser with WebRTC support

examples/bot-ready-signalling/client/javascript/README.md

@@ -0,0 +1,27 @@
+# JavaScript Implementation
+
+Basic implementation using the [Pipecat JavaScript SDK](https://docs.pipecat.ai/client/js/introduction).
+
+## Setup
+
+1. Run the bot server. See the [server README](../../README).
+
+2. Navigate to the `client/javascript` directory:
+
+```bash
+cd client/javascript
+```
+
+3. Install dependencies:
+
+```bash
+npm install
+```
+
+4. Run the client app:
+
+```
+npm run dev
+```
+
+5. Visit http://localhost:5173 in your browser.

examples/bot-ready-signalling/client/javascript/index.html

@@ -0,0 +1,34 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>AI Chatbot</title>
+</head>
+
+<body>
+  <div class="container">
+    <div class="status-bar">
+      <div class="status">
+        Status: <span id="connection-status">Disconnected</span>
+      </div>
+      <div class="controls">
+        <button id="connect-btn">Connect</button>
+        <button id="disconnect-btn" disabled>Disconnect</button>
+      </div>
+    </div>
+
+    <audio id="bot-audio" autoplay></audio>
+
+    <div class="debug-panel">
+      <h3>Debug Info</h3>
+      <div id="debug-log"></div>
+    </div>
+  </div>
+
+  <script type="module" src="/src/app.js"></script>
+  <link rel="stylesheet" href="/src/style.css">
+</body>
+
+</html>

examples/bot-ready-signalling/client/javascript/package.json

@@ -0,0 +1,20 @@
+{
+  "name": "client",
+  "version": "1.0.0",
+  "main": "index.js",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "preview": "vite preview"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "description": "",
+  "devDependencies": {
+    "vite": "^6.3.5"
+  },
+  "dependencies": {
+    "@daily-co/daily-js": "0.74.0"
+  }
+}

examples/bot-ready-signalling/client/javascript/src/app.js

@@ -0,0 +1,216 @@
+/**
+ * Copyright (c) 2024–2025, Daily
+ *
+ * SPDX-License-Identifier: BSD 2-Clause License
+ */
+
+import Daily from "@daily-co/daily-js";
+
+/**
+ * ChatbotClient handles the connection and media management for a real-time
+ * voice interaction with an AI bot.
+ */
+class ChatbotClient {
+  constructor() {
+    // Initialize client state
+    this.dailyCallObject = null;
+    this.setupDOMElements();
+    this.setupEventListeners();
+  }
+
+  /**
+   * Set up references to DOM elements and create necessary media elements
+   */
+  setupDOMElements() {
+    // Get references to UI control elements
+    this.connectBtn = document.getElementById('connect-btn');
+    this.disconnectBtn = document.getElementById('disconnect-btn');
+    this.statusSpan = document.getElementById('connection-status');
+    this.debugLog = document.getElementById('debug-log');
+
+    // Create an audio element for bot's voice output
+    this.botAudio = document.createElement('audio');
+    this.botAudio.autoplay = true;
+    this.botAudio.playsInline = true;
+    document.body.appendChild(this.botAudio);
+  }
+
+  /**
+   * Set up event listeners for connect/disconnect buttons
+   */
+  setupEventListeners() {
+    this.connectBtn.addEventListener('click', () => this.connect());
+    this.disconnectBtn.addEventListener('click', () => this.disconnect());
+  }
+
+  /**
+   * Add a timestamped message to the debug log
+   */
+  log(message) {
+    const entry = document.createElement('div');
+    entry.textContent = `${new Date().toISOString()} - ${message}`;
+
+    // Add styling based on message type
+    if (message.startsWith('User: ')) {
+      entry.style.color = '#2196F3'; // blue for user
+    } else if (message.startsWith('Bot: ')) {
+      entry.style.color = '#4CAF50'; // green for bot
+    }
+
+    this.debugLog.appendChild(entry);
+    this.debugLog.scrollTop = this.debugLog.scrollHeight;
+    console.log(message);
+  }
+
+  /**
+   * Update the connection status display
+   */
+  updateStatus(status) {
+    this.statusSpan.textContent = status;
+    this.log(`Status: ${status}`);
+  }
+
+  handleEventToConsole (evt) {
+    this.log(`Received event: ${evt.action}`);
+  };
+
+  /**
+   * Set up listeners for track events (start/stop)
+   * This handles new tracks being added during the session
+   */
+  setupTrackListeners() {
+    if (!this.dailyCallObject) return;
+
+    this.dailyCallObject.on("joined-meeting", () => {
+      this.updateStatus('Connected');
+      this.connectBtn.disabled = true;
+      this.disconnectBtn.disabled = false;
+      this.log('Client connected');
+    });
+    this.dailyCallObject.on("track-started", (evt) => {
+      if (evt.track.kind === "audio" && evt.participant.local === false) {
+        this.log("Audio track started.")
+        this.setupAudioTrack(evt.track);
+      }
+    });
+    this.dailyCallObject.on("track-stopped", this.handleEventToConsole.bind(this));
+    this.dailyCallObject.on("participant-joined", this.handleEventToConsole.bind(this));
+    this.dailyCallObject.on("participant-updated", this.handleEventToConsole.bind(this));
+    this.dailyCallObject.on("participant-left", () => {
+      // When the bot leaves, we are also disconnecting from the call
+      this.disconnect()
+    });
+    this.dailyCallObject.on("left-meeting", () => {
+      this.updateStatus('Disconnected');
+      this.connectBtn.disabled = false;
+      this.disconnectBtn.disabled = true;
+      this.log('Client disconnected');
+    });
+    this.dailyCallObject.on("error", this.handleEventToConsole.bind(this));
+  }
+
+  /**
+   * Set up an audio track for playback
+   * Handles both initial setup and track updates
+   */
+  setupAudioTrack(track) {
+    this.log(`Setting up audio track, track state: ${track.readyState}, muted: ${track.muted}`);
+
+    // Check if we're already playing this track
+    if (this.botAudio.srcObject) {
+      const oldTrack = this.botAudio.srcObject.getAudioTracks()[0];
+      if (oldTrack?.id === track.id) return;
+    }
+    // Create a new MediaStream with the track and set it as the audio source
+    this.botAudio.srcObject = new MediaStream([track]);
+    this.botAudio.onplaying = async (event) => {
+      this.log("onplaying")
+      this.log("Will send the audio message to play the audio at the next tick")
+      this.dailyCallObject.sendAppMessage("playable")
+    }
+  }
+
+  async fetchRoomInfo() {
+    let connectUrl = '/connect'
+    let res = await fetch(connectUrl, {
+      method: "POST",
+      mode: "cors",
+      headers: new Headers({
+        "Content-Type": "application/json"
+      }),
+    })
+    if (res.ok) {
+      return res.json();
+    }
+  }
+
+  /**
+   * Initialize and connect to the bot
+   * This sets up the RTVI client, initializes devices, and establishes the connection
+   */
+  async connect() {
+    try {
+      // Initialize the client
+      this.dailyCallObject = Daily.createCallObject({
+        subscribeToTracksAutomatically: true,
+      });
+
+      // Set up listeners for media track events
+      this.setupTrackListeners();
+
+      this.log('Creating the bot...');
+      let roomInfo = await this.fetchRoomInfo()
+
+      // Connect to the bot
+      this.log('Connecting to bot...');
+      // Only for making debugger easier
+      window.callObject = this.dailyCallObject;
+      await this.dailyCallObject.join({
+        url: roomInfo.room_url,
+      });
+
+      this.log('Connection complete');
+    } catch (error) {
+      // Handle any errors during connection
+      this.log(`Error connecting: ${error.message}`);
+      this.log(`Error stack: ${error.stack}`);
+      this.updateStatus('Error');
+
+      // Clean up if there's an error
+      if (this.dailyCallObject) {
+        try {
+          await this.dailyCallObject.leave();
+        } catch (disconnectError) {
+          this.log(`Error during disconnect: ${disconnectError.message}`);
+        }
+      }
+    }
+  }
+
+  /**
+   * Disconnect from the bot and clean up media resources
+   */
+  async disconnect() {
+    if (this.dailyCallObject) {
+      try {
+        // Disconnect the RTVI client
+        await this.dailyCallObject.leave();
+        await this.dailyCallObject.destroy();
+        this.dailyCallObject = null;
+
+        // Clean up audio
+        if (this.botAudio.srcObject) {
+          this.botAudio.srcObject.getTracks().forEach((track) => track.stop());
+          this.botAudio.srcObject = null;
+        }
+      } catch (error) {
+        this.log(`Error disconnecting: ${error.message}`);
+      }
+    }
+  }
+}
+
+// Initialize the client when the page loads
+window.addEventListener('DOMContentLoaded', () => {
+  new ChatbotClient();
+});

examples/bot-ready-signalling/client/javascript/src/style.css

@@ -0,0 +1,98 @@
+body {
+  margin: 0;
+  padding: 20px;
+  font-family: Arial, sans-serif;
+  background-color: #f0f0f0;
+}
+
+.container {
+  max-width: 1200px;
+  margin: 0 auto;
+}
+
+.status-bar {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  padding: 10px;
+  background-color: #fff;
+  border-radius: 8px;
+  margin-bottom: 20px;
+}
+
+.controls button {
+  padding: 8px 16px;
+  margin-left: 10px;
+  border: none;
+  border-radius: 4px;
+  cursor: pointer;
+}
+
+#connect-btn {
+  background-color: #4caf50;
+  color: white;
+}
+
+#disconnect-btn {
+  background-color: #f44336;
+  color: white;
+}
+
+button:disabled {
+  opacity: 0.5;
+  cursor: not-allowed;
+}
+
+.main-content {
+  background-color: #fff;
+  border-radius: 8px;
+  padding: 20px;
+  margin-bottom: 20px;
+}
+
+.bot-container {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+}
+
+#bot-video-container {
+  width: 640px;
+  height: 360px;
+  background-color: #e0e0e0;
+  border-radius: 8px;
+  margin: 20px auto;
+  overflow: hidden;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+}
+
+#bot-video-container video {
+  width: 100%;
+  height: 100%;
+  object-fit: cover;
+}
+
+.debug-panel {
+  background-color: #fff;
+  border-radius: 8px;
+  padding: 20px;
+}
+
+.debug-panel h3 {
+  margin: 0 0 10px 0;
+  font-size: 16px;
+  font-weight: bold;
+}
+
+#debug-log {
+  height: 200px;
+  overflow-y: auto;
+  background-color: #f8f8f8;
+  padding: 10px;
+  border-radius: 4px;
+  font-family: monospace;
+  font-size: 12px;
+  line-height: 1.4;
+}

examples/bot-ready-signalling/client/javascript/vite.config.js

@@ -0,0 +1,13 @@
+import { defineConfig } from 'vite';
+
+export default defineConfig({
+    server: {
+        proxy: {
+            // Proxy /api requests to the backend server
+            '/connect': {
+                target: 'http://0.0.0.0:7860', // Replace with your backend URL
+                changeOrigin: true,
+            },
+        },
+    },
+});

examples/bot-ready-signalling/client/react-native/.nvmrc

@@ -0,0 +1 @@
+22.14

examples/bot-ready-signalling/client/react-native/README.md

@@ -0,0 +1,60 @@
+# React Native Implementation
+
+Basic implementation using the [Pipecat React Native SDK](https://docs.pipecat.ai/client/react-native/introduction).
+
+## Usage
+
+### Expo requirements
+
+This project cannot be used with an [Expo Go](https://docs.expo.dev/workflow/expo-go/) app because [it requires custom native code](https://docs.expo.io/workflow/customizing/).
+
+When a project requires custom native code or a config plugin, we need to transition from using [Expo Go](https://docs.expo.dev/workflow/expo-go/) 
+to a [development build](https://docs.expo.dev/development/introduction/).
+
+More details about the custom native code used by this demo can be found in [rn-daily-js-expo-config-plugin](https://github.com/daily-co/rn-daily-js-expo-config-plugin).
+
+### Building remotely
+
+If you do not have experience with Xcode and Android Studio builds or do not have them installed locally on your computer, you will need to follow [this guide from Expo to use EAS Build](https://docs.expo.dev/development/create-development-builds/#create-and-install-eas-build).
+
+### Building locally
+
+You will need to have installed locally on your computer:
+- [Xcode](https://developer.apple.com/xcode/) to build for iOS;
+- [Android Studio](https://developer.android.com/studio) to build for Android;
+
+#### Install the demo dependencies
+
+```bash
+# Use the version of node specified in .nvmrc
+nvm i
+
+# Install dependencies
+npm i
+
+# Before a native app can be compiled, the native source code must be generated.
+npx expo prebuild
+
+# Configure the environment variable to connect to the local server
+cp env.example .env
+# edit .env and add your local ip address, for example: http://192.168.1.16:7860
+```
+
+#### Running on Android
+
+After plugging in an Android device [configured for debugging](https://developer.android.com/studio/debug/dev-options), run the following command:
+
+```
+npm run android
+```
+
+#### Running on iOS
+
+Run the following command:
+
+```
+npm run ios
+```
+
+#### Connect to the server
+Use the http://localhost:5173 in your app.

examples/bot-ready-signalling/client/react-native/app.json

@@ -0,0 +1,75 @@
+{
+  "expo": {
+    "name": "bot-ready-rn",
+    "slug": "bot-ready-rn",
+    "version": "1.0.0",
+    "orientation": "portrait",
+    "icon": "./assets/icon.png",
+    "userInterfaceStyle": "light",
+    "splash": {
+      "image": "./assets/splash.png",
+      "resizeMode": "contain",
+      "backgroundColor": "#ffffff"
+    },
+    "updates": {
+      "fallbackToCacheTimeout": 0
+    },
+    "assetBundlePatterns": [
+      "**/*"
+    ],
+    "ios": {
+      "supportsTablet": true,
+      "bitcode": false,
+      "bundleIdentifier": "co.daily.expo.BotReady",
+      "infoPlist": {
+        "UIBackgroundModes": [
+          "voip"
+        ]
+      },
+      "appleTeamId": "EEBGKV9N3N"
+    },
+    "android": {
+      "adaptiveIcon": {
+        "foregroundImage": "./assets/adaptive-icon.png",
+        "backgroundColor": "#FFFFFF"
+      },
+      "package": "co.daily.expo.BotReady",
+      "permissions": [
+        "android.permission.ACCESS_NETWORK_STATE",
+        "android.permission.BLUETOOTH",
+        "android.permission.CAMERA",
+        "android.permission.INTERNET",
+        "android.permission.MODIFY_AUDIO_SETTINGS",
+        "android.permission.RECORD_AUDIO",
+        "android.permission.SYSTEM_ALERT_WINDOW",
+        "android.permission.WAKE_LOCK",
+        "android.permission.FOREGROUND_SERVICE",
+        "android.permission.FOREGROUND_SERVICE_CAMERA",
+        "android.permission.FOREGROUND_SERVICE_MICROPHONE",
+        "android.permission.FOREGROUND_SERVICE_MEDIA_PROJECTION",
+        "android.permission.POST_NOTIFICATIONS"
+      ]
+    },
+    "web": {
+      "favicon": "./assets/favicon.png"
+    },
+    "plugins": [
+      "@config-plugins/react-native-webrtc",
+      "@daily-co/config-plugin-rn-daily-js",
+      [
+        "expo-build-properties",
+        {
+          "android": {
+            "minSdkVersion": 24,
+            "compileSdkVersion": 35,
+            "targetSdkVersion": 34,
+            "buildToolsVersion": "35.0.0"
+          },
+          "ios": {
+            "deploymentTarget": "15.1"
+          }
+        }
+      ]
+    ]
+  }
+}

examples/bot-ready-signalling/client/react-native/babel.config.js

@@ -0,0 +1,7 @@
+module.exports = function(api) {
+  api.cache(true);
+  return {
+    presets: ['babel-preset-expo'],
+    plugins: [["module:react-native-dotenv"]],
+  };
+};

examples/bot-ready-signalling/client/react-native/env.example

@@ -0,0 +1 @@
+API_BASE_URL=http://YOUR_LOCAL_IP:7860

examples/bot-ready-signalling/client/react-native/index.js

@@ -0,0 +1,7 @@
+import { registerRootComponent } from "expo";
+
+import App from "./src/App";
+
+// registerRootComponent calls AppRegistry.registerComponent('main', () => App);
+// It also ensures that the environment is set up appropriately
+registerRootComponent(App);

examples/bot-ready-signalling/client/react-native/metro.config.js

@@ -0,0 +1,4 @@
+// Learn more https://docs.expo.io/guides/customizing-metro
+const { getDefaultConfig } = require('expo/metro-config');
+
+module.exports = getDefaultConfig(__dirname);

examples/bot-ready-signalling/client/react-native/package.json

@@ -0,0 +1,31 @@
+{
+  "name": "bot-ready-rn",
+  "version": "1.0.0",
+  "scripts": {
+    "start": "expo start --dev-client",
+    "android": "expo run:android --device",
+    "ios": "expo run:ios --device",
+    "web": "expo start --web"
+  },
+  "dependencies": {
+    "@config-plugins/react-native-webrtc": "^10.0.0",
+    "@daily-co/config-plugin-rn-daily-js": "0.0.7",
+    "@daily-co/react-native-daily-js": "^0.70.0",
+    "@daily-co/react-native-webrtc": "^118.0.3-daily.2",
+    "@react-native-async-storage/async-storage": "1.23.1",
+    "expo": "^52.0.0",
+    "expo-build-properties": "~0.13.1",
+    "expo-dev-client": "~5.0.5",
+    "expo-splash-screen": "~0.29.16",
+    "expo-status-bar": "~2.0.0",
+    "react": "18.3.1",
+    "react-native": "0.76.3",
+    "react-native-background-timer": "^2.4.1",
+    "react-native-dotenv": "^3.4.11",
+    "react-native-get-random-values": "^1.11.0"
+  },
+  "devDependencies": {
+    "@babel/core": "^7.12.9"
+  },
+  "private": true
+}

examples/bot-ready-signalling/client/react-native/src/App.js

@@ -0,0 +1,121 @@
+import React, { useState, useEffect } from 'react';
+import {SafeAreaView, View, Text, Button, StyleSheet, ScrollView} from 'react-native';
+import Daily from "@daily-co/react-native-daily-js";
+import { API_BASE_URL } from "@env";
+
+const CallScreen = () => {
+  const [connectionStatus, setConnectionStatus] = useState('Disconnected');
+  const [isConnected, setIsConnected] = useState(false);
+  const [callObject, setCallObject] = useState(null);
+  const [logs, setLogs] = useState([]);
+
+  useEffect(() => {
+    if (callObject) {
+      setupTrackListeners(callObject);
+    }
+  }, [callObject]);
+
+  const log = (message) => {
+    setLogs((prevLogs) => [...prevLogs, `${new Date().toISOString()} - ${message}`]);
+    console.log(message);
+  };
+
+  const setupTrackListeners = (callObject) => {
+    callObject.on("joined-meeting", () => {
+      setConnectionStatus('Connected');
+      setIsConnected(true);
+      log('Client connected');
+    });
+    callObject.on("left-meeting", () => {
+      setConnectionStatus('Disconnected');
+      setIsConnected(false);
+      log('Client disconnected');
+    });
+    callObject.on("participant-left", () => {
+      // When the bot leaves, we are also disconnecting from the call
+      disconnect().catch((err) => {
+        log(`Failed to disconnect ${err}`);
+      })
+    });
+    // Trigger so the bot can start sending audio
+    callObject.on("track-started", (evt) => {
+      if (evt.track.kind === "audio" && evt.participant.local === false) {
+        handleEventToConsole(evt)
+        log("Sending the message that will trigger the bot to play the audio.")
+        callObject.sendAppMessage("playable")
+      }
+    });
+    callObject.on("error", (evt) => log(`Error: ${evt.error}`));
+    // Other events just for awareness
+    callObject.on("track-stopped", handleEventToConsole);
+    callObject.on("participant-joined", handleEventToConsole);
+    callObject.on("participant-updated", handleEventToConsole);
+  };
+
+  const handleEventToConsole = (evt) => {
+    log(`Received event: ${evt.action}`);
+  };
+
+  const connect = async () => {
+    try {
+      const callObject = Daily.createCallObject({ subscribeToTracksAutomatically: true });
+      setCallObject(callObject);
+      const connectionUrl = `${API_BASE_URL}/connect`
+      const res = await fetch(connectionUrl, { method: "POST", headers: { "Content-Type": "application/json" } });
+      const roomInfo = await res.json();
+      await callObject.join({ url: roomInfo.room_url });
+    } catch (error) {
+      log(`Error connecting: ${error.message}`);
+    }
+  };
+
+  const disconnect = async () => {
+    if (callObject) {
+      try {
+        await callObject.leave();
+        await callObject.destroy();
+        setCallObject(null);
+      } catch (error) {
+        log(`Error disconnecting: ${error.message}`);
+      }
+    }
+  };
+
+  return (
+      <SafeAreaView style={styles.safeArea}>
+        <View style={styles.container}>
+          <View style={styles.statusBar}>
+            <Text>Status: <Text style={styles.status}>{connectionStatus}</Text></Text>
+            <View style={styles.controls}>
+              <Button
+                title={isConnected ? "Disconnect" : "Connect"}
+                onPress={isConnected ? disconnect : connect}
+              />
+            </View>
+          </View>
+
+          <View style={styles.debugPanel}>
+            <Text style={styles.debugTitle}>Debug Info</Text>
+            <ScrollView style={styles.debugLog}>
+              {logs.map((logEntry, index) => (
+                  <Text key={index} style={styles.logText}>{logEntry}</Text>
+              ))}
+            </ScrollView>
+          </View>
+        </View>
+      </SafeAreaView>
+  );
+};
+
+const styles = StyleSheet.create({
+  safeArea: { flex: 1, backgroundColor: '#f0f0f0', padding: 20 },
+  container: { flex: 1, margin: 20 },
+  statusBar: { flexDirection: 'row', justifyContent: 'space-between', alignItems: 'center', padding: 10, backgroundColor: '#fff', borderRadius: 8, marginBottom: 20 },
+  status: { fontWeight: 'bold' },
+  controls: { flexDirection: 'row', gap: 10 },
+  debugPanel: { height: '80%', backgroundColor: '#fff', borderRadius: 8, padding: 20},
+  debugTitle: { fontSize: 16, fontWeight: 'bold' },
+  debugLog: { height: '100%', overflow: 'scroll', backgroundColor: '#f8f8f8', padding: 10, borderRadius: 4, fontFamily: 'monospace', fontSize: 12, lineHeight: 1.4 },
+});
+
+export default CallScreen;

examples/bot-ready-signalling/server/README.md

@@ -0,0 +1,50 @@
+# Bot ready signaling Server
+
+A FastAPI server that manages bot instances and provide endpoint for Pipecat client connections.
+
+## Endpoints
+
+- `POST /connect` - Pipecat client connection endpoint
+
+## Environment Variables
+
+Copy `env.example` to `.env` and configure:
+
+```ini
+# Required API Keys
+DAILY_API_KEY=           # Your Daily API key
+CARTESIA_API_KEY=        # Your Cartesia API key
+
+# Optional Configuration
+DAILY_API_URL=           # Optional: Daily API URL (defaults to https://api.daily.co/v1)
+DAILY_SAMPLE_ROOM_URL=   # Optional: Fixed room URL for development
+HOST=                    # Optional: Host address (defaults to 0.0.0.0)
+FAST_API_PORT=           # Optional: Port number (defaults to 7860)
+```
+
+## Running the Server
+
+Set up and activate your virtual environment:
+
+```bash
+python3 -m venv venv
+source venv/bin/activate  # On Windows: venv\Scripts\activate
+```
+
+Install dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+If you want to use the local version of `pipecat` in this repo rather than the last published version, also run:
+
+```bash
+pip install --editable "../../../[daily,cartesia,openai]"
+```
+
+Run the server:
+
+```bash
+python server.py
+```

examples/bot-ready-signalling/server/env.example

@@ -0,0 +1,3 @@
+DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (for joining the bot to the same room repeatedly for local dev)
+DAILY_API_KEY=
+CARTESIA_API_KEY=

examples/bot-ready-signalling/server/requirements.txt

@@ -0,0 +1,4 @@
+python-dotenv
+fastapi[all]
+uvicorn
+pipecat-ai[daily,cartesia,openai]

examples/bot-ready-signalling/server/runner.py

@@ -0,0 +1,64 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import os
+from typing import Optional
+
+import aiohttp
+
+from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
+
+
+async def configure(aiohttp_session: aiohttp.ClientSession):
+    (url, token, _) = await configure_with_args(aiohttp_session)
+    return (url, token)
+
+
+async def configure_with_args(
+    aiohttp_session: aiohttp.ClientSession, parser: Optional[argparse.ArgumentParser] = None
+):
+    if not parser:
+        parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
+    parser.add_argument(
+        "-u", "--url", type=str, required=False, help="URL of the Daily room to join"
+    )
+    parser.add_argument(
+        "-k",
+        "--apikey",
+        type=str,
+        required=False,
+        help="Daily API Key (needed to create an owner token for the room)",
+    )
+
+    args, unknown = parser.parse_known_args()
+
+    url = args.url or os.getenv("DAILY_SAMPLE_ROOM_URL")
+    key = args.apikey or os.getenv("DAILY_API_KEY")
+
+    if not url:
+        raise Exception(
+            "No Daily room specified. use the -u/--url option from the command line, or set DAILY_SAMPLE_ROOM_URL in your environment to specify a Daily room URL."
+        )
+
+    if not key:
+        raise Exception(
+            "No Daily API key specified. use the -k/--apikey option from the command line, or set DAILY_API_KEY in your environment to specify a Daily API key, available from https://dashboard.daily.co/developers."
+        )
+
+    daily_rest_helper = DailyRESTHelper(
+        daily_api_key=key,
+        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
+        aiohttp_session=aiohttp_session,
+    )
+
+    # Create a meeting token for the given room with an expiration 1 hour in
+    # the future.
+    expiry_time: float = 60 * 60
+
+    token = await daily_rest_helper.get_token(url, expiry_time)
+
+    return (url, token, args)

examples/bot-ready-signalling/server/server.py

@@ -0,0 +1,147 @@
+#
+# Copyright (c) 2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import os
+import subprocess
+from contextlib import asynccontextmanager
+from typing import Any, Dict
+
+import aiohttp
+from dotenv import load_dotenv
+from fastapi import FastAPI, HTTPException, Request
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse
+
+from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper, DailyRoomParams
+
+# Load environment variables from .env file
+load_dotenv(override=True)
+
+# Dictionary to track bot processes: {pid: (process, room_url)}
+bot_procs = {}
+
+# Store Daily API helpers
+daily_helpers = {}
+
+
+def cleanup():
+    """Cleanup function to terminate all bot processes.
+
+    Called during server shutdown.
+    """
+    for entry in bot_procs.values():
+        proc = entry[0]
+        proc.terminate()
+        proc.wait()
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """FastAPI lifespan manager that handles startup and shutdown tasks.
+
+    - Creates aiohttp session
+    - Initializes Daily API helper
+    - Cleans up resources on shutdown
+    """
+    aiohttp_session = aiohttp.ClientSession()
+    daily_helpers["rest"] = DailyRESTHelper(
+        daily_api_key=os.getenv("DAILY_API_KEY", ""),
+        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
+        aiohttp_session=aiohttp_session,
+    )
+    yield
+    await aiohttp_session.close()
+    cleanup()
+
+
+# Initialize FastAPI app with lifespan manager
+app = FastAPI(lifespan=lifespan)
+
+# Configure CORS to allow requests from any origin
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+async def create_room_and_token() -> tuple[str, str]:
+    """Helper function to create a Daily room and generate an access token.
+
+    Returns:
+        tuple[str, str]: A tuple containing (room_url, token)
+
+    Raises:
+        HTTPException: If room creation or token generation fails
+    """
+    room = await daily_helpers["rest"].create_room(DailyRoomParams())
+    if not room.url:
+        raise HTTPException(status_code=500, detail="Failed to create room")
+
+    token = await daily_helpers["rest"].get_token(room.url)
+    if not token:
+        raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}")
+
+    return room.url, token
+
+
+@app.post("/connect")
+async def bot_connect(request: Request) -> Dict[Any, Any]:
+    """Connect endpoint that creates a room and returns connection credentials.
+
+    This endpoint is called by client to establish a connection.
+
+    Returns:
+        Dict[Any, Any]: Authentication bundle containing room_url and token
+
+    Raises:
+        HTTPException: If room creation, token generation, or bot startup fails
+    """
+    print("Creating room for RTVI connection")
+    room_url, token = await create_room_and_token()
+    print(f"Room URL: {room_url}")
+
+    # Start the bot process
+    try:
+        bot_file = "signalling_bot"
+        proc = subprocess.Popen(
+            [f"python3 -m {bot_file} -u {room_url} -t {token}"],
+            shell=True,
+            bufsize=1,
+            cwd=os.path.dirname(os.path.abspath(__file__)),
+        )
+        bot_procs[proc.pid] = (proc, room_url)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
+
+    # Return the authentication bundle in format expected by DailyTransport
+    return {"room_url": room_url, "token": token}
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    # Parse command line arguments for server configuration
+    default_host = os.getenv("HOST", "0.0.0.0")
+    default_port = int(os.getenv("FAST_API_PORT", "7860"))
+
+    parser = argparse.ArgumentParser(description="Daily Travel Companion FastAPI server")
+    parser.add_argument("--host", type=str, default=default_host, help="Host address")
+    parser.add_argument("--port", type=int, default=default_port, help="Port number")
+    parser.add_argument("--reload", action="store_true", help="Reload code on change")
+
+    config = parser.parse_args()
+
+    # Start the FastAPI server
+    uvicorn.run(
+        "server:app",
+        host=config.host,
+        port=config.port,
+        reload=config.reload,
+    )

examples/bot-ready-signalling/server/signalling_bot.py

@@ -0,0 +1,95 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import asyncio
+import os
+import sys
+from dataclasses import dataclass
+
+import aiohttp
+from dotenv import load_dotenv
+from loguru import logger
+from runner import configure
+
+from pipecat.frames.frames import AudioRawFrame, EndFrame, OutputAudioRawFrame, TTSSpeakFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineTask
+from pipecat.services.cartesia.tts import CartesiaTTSService
+from pipecat.transports.services.daily import DailyParams, DailyTransport
+
+load_dotenv(override=True)
+
+logger.remove(0)
+logger.add(sys.stderr, level="DEBUG")
+
+
+@dataclass
+class SilenceFrame(OutputAudioRawFrame):
+    def __init__(
+        self,
+        *,
+        sample_rate: int,
+        duration: float,
+    ):
+        # Initialize the parent class with the silent frame's data
+        super().__init__(
+            audio=self.create_silent_audio_frame(sample_rate, 1, duration).audio,
+            sample_rate=sample_rate,
+            num_channels=1,
+        )
+
+    @staticmethod
+    def create_silent_audio_frame(
+        sample_rate: int, num_channels: int, duration: float
+    ) -> AudioRawFrame:
+        """Create an AudioRawFrame containing silence."""
+        frame_size = num_channels * 2  # 2 bytes per sample for 16-bit audio
+        total_frames = int(sample_rate * duration)
+        total_bytes = total_frames * frame_size
+        silent_audio = bytes(total_bytes)  # Create a byte array filled with zeros
+        return AudioRawFrame(audio=silent_audio, sample_rate=sample_rate, num_channels=num_channels)
+
+
+async def main():
+    async with aiohttp.ClientSession() as session:
+        (room_url, _) = await configure(session)
+
+        transport = DailyTransport(
+            room_url, None, "Say One Thing", DailyParams(audio_out_enabled=True)
+        )
+
+        tts = CartesiaTTSService(
+            api_key=os.getenv("CARTESIA_API_KEY"),
+            voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
+        )
+
+        runner = PipelineRunner()
+
+        task = PipelineTask(Pipeline([tts, transport.output()]))
+
+        # Register an event handler so we can play the audio when we receive a specific message
+        @transport.event_handler("on_app_message")
+        async def on_app_message(transport, message, sender):
+            logger.debug(f"Received app message: {message} - {sender}")
+            if "playable" not in message:
+                return
+            await task.queue_frames(
+                [
+                    SilenceFrame(
+                        sample_rate=task.params.audio_out_sample_rate,
+                        duration=0.5,
+                    ),
+                    TTSSpeakFrame(f"Hello there, how are you doing today ?"),
+                    EndFrame(),
+                ]
+            )
+
+        await runner.run(task)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

examples/chatbot-audio-recording/.gitignore

@@ -0,0 +1,161 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+runpod.toml

examples/chatbot-audio-recording/Dockerfile

@@ -0,0 +1,15 @@
+FROM python:3.10-bullseye
+
+RUN mkdir /app
+RUN mkdir /app/assets
+RUN mkdir /app/utils
+COPY *.py /app/
+COPY requirements.txt /app/
+
+
+WORKDIR /app
+RUN pip3 install -r requirements.txt
+
+EXPOSE 7860
+
+CMD ["python3", "server.py"]

examples/chatbot-audio-recording/README.md

@@ -0,0 +1,37 @@
+# Simple Chatbot
+
+<img src="image.png" width="420px">
+
+This app connects you to a chatbot powered by GPT-4, complete with animations generated by Stable Video Diffusion.
+
+See a video of it in action: https://x.com/kwindla/status/1778628911817183509
+
+And a quick video walkthrough of the code: https://www.loom.com/share/13df1967161f4d24ade054e7f8753416
+
+ℹ️ The first time, things might take extra time to get started since VAD (Voice Activity Detection) model needs to be downloaded.
+
+## Get started
+
+```python
+python3 -m venv venv
+source venv/bin/activate
+pip install -r requirements.txt
+
+cp env.example .env # and add your credentials
+
+```
+
+## Run the server
+
+```bash
+python server.py
+```
+
+Then, visit `http://localhost:7860/` in your browser to start a chatbot session.
+
+## Build and test the Docker image
+
+```
+docker build -t chatbot .
+docker run --env-file .env -p 7860:7860 chatbot
+```

examples/chatbot-audio-recording/bot.py

@@ -0,0 +1,162 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import asyncio
+import datetime
+import io
+import os
+import sys
+import wave
+
+import aiofiles
+import aiohttp
+from dotenv import load_dotenv
+from loguru import logger
+from runner import configure
+
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
+from pipecat.processors.audio.audio_buffer_processor import AudioBufferProcessor
+from pipecat.services.elevenlabs.tts import ElevenLabsTTSService
+from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.transports.services.daily import DailyParams, DailyTransport
+
+load_dotenv(override=True)
+
+logger.remove(0)
+logger.add(sys.stderr, level="DEBUG")
+
+# Create the recordings directory if it doesn't exist
+os.makedirs("recordings", exist_ok=True)
+
+
+async def save_audio(audio: bytes, sample_rate: int, num_channels: int, name: str):
+    if len(audio) > 0:
+        filename = os.path.join(
+            "recordings",
+            f"{name}_conversation_recording{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}.wav",
+        )
+        with io.BytesIO() as buffer:
+            with wave.open(buffer, "wb") as wf:
+                wf.setsampwidth(2)
+                wf.setnchannels(num_channels)
+                wf.setframerate(sample_rate)
+                wf.writeframes(audio)
+            async with aiofiles.open(filename, "wb") as file:
+                await file.write(buffer.getvalue())
+        print(f"Merged audio saved to {filename}")
+    else:
+        print("No audio data to save")
+
+
+async def main():
+    async with aiohttp.ClientSession() as session:
+        (room_url, token) = await configure(session)
+
+        transport = DailyTransport(
+            room_url,
+            token,
+            "Chatbot",
+            DailyParams(
+                audio_out_enabled=True,
+                audio_in_enabled=True,
+                video_out_enabled=False,
+                vad_analyzer=SileroVADAnalyzer(),
+                transcription_enabled=True,
+                #
+                # Spanish
+                #
+                # transcription_settings=DailyTranscriptionSettings(
+                #     language="es",
+                #     tier="nova",
+                #     model="2-general"
+                # )
+            ),
+        )
+
+        tts = ElevenLabsTTSService(
+            api_key=os.getenv("ELEVENLABS_API_KEY"),
+            #
+            # English
+            #
+            voice_id="cgSgspJ2msm6clMCkdW9",
+            #
+            # Spanish
+            #
+            # model="eleven_multilingual_v2",
+            # voice_id="gD1IexrzCvsXPHUuT0s3",
+        )
+
+        llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+
+        messages = [
+            {
+                "role": "system",
+                #
+                # English
+                #
+                "content": "You are Chatbot, a friendly, helpful robot. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way, but keep your responses brief. Start by introducing yourself. Keep all your response to 12 words or fewer.",
+                #
+                # Spanish
+                #
+                # "content": "Eres Chatbot, un amigable y útil robot. Tu objetivo es demostrar tus capacidades de una manera breve. Tus respuestas se convertiran a audio así que nunca no debes incluir caracteres especiales. Contesta a lo que el usuario pregunte de una manera creativa, útil y breve. Empieza por presentarte a ti mismo.",
+            },
+        ]
+
+        context = OpenAILLMContext(messages)
+        context_aggregator = llm.create_context_aggregator(context)
+
+        # NOTE: Watch out! This will save all the conversation in memory. You
+        # can pass `buffer_size` to get periodic callbacks.
+        audiobuffer = AudioBufferProcessor(enable_turn_audio=True)
+
+        pipeline = Pipeline(
+            [
+                transport.input(),  # microphone
+                context_aggregator.user(),
+                llm,
+                tts,
+                transport.output(),
+                audiobuffer,  # used to buffer the audio in the pipeline
+                context_aggregator.assistant(),
+            ]
+        )
+
+        task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
+
+        @audiobuffer.event_handler("on_audio_data")
+        async def on_audio_data(buffer, audio, sample_rate, num_channels):
+            await save_audio(audio, sample_rate, num_channels, "full")
+
+        @audiobuffer.event_handler("on_user_turn_audio_data")
+        async def on_user_turn_audio_data(buffer, audio, sample_rate, num_channels):
+            await save_audio(audio, sample_rate, num_channels, "user")
+
+        @audiobuffer.event_handler("on_bot_turn_audio_data")
+        async def on_bot_turn_audio_data(buffer, audio, sample_rate, num_channels):
+            await save_audio(audio, sample_rate, num_channels, "bot")
+
+        @transport.event_handler("on_first_participant_joined")
+        async def on_first_participant_joined(transport, participant):
+            await audiobuffer.start_recording()
+            await transport.capture_participant_transcription(participant["id"])
+            await task.queue_frames([context_aggregator.user().get_context_frame()])
+
+        @transport.event_handler("on_participant_left")
+        async def on_participant_left(transport, participant, reason):
+            print(f"Participant left: {participant}")
+            await task.cancel()
+
+        runner = PipelineRunner()
+
+        await runner.run(task)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

examples/chatbot-audio-recording/env.example

@@ -0,0 +1,4 @@
+DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (for joining the bot to the same room repeatedly for local dev)
+DAILY_API_KEY=7df...
+OPENAI_API_KEY=sk-PL...
+ELEVENLABS_API_KEY=aeb...

examples/chatbot-audio-recording/requirements.txt

@@ -0,0 +1,5 @@
+aiofiles
+python-dotenv
+fastapi[all]
+uvicorn
+pipecat-ai[daily,openai,silero,elevenlabs]

examples/chatbot-audio-recording/runner.py

@@ -0,0 +1,55 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import os
+
+import aiohttp
+
+from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
+
+
+async def configure(aiohttp_session: aiohttp.ClientSession):
+    parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
+    parser.add_argument(
+        "-u", "--url", type=str, required=False, help="URL of the Daily room to join"
+    )
+    parser.add_argument(
+        "-k",
+        "--apikey",
+        type=str,
+        required=False,
+        help="Daily API Key (needed to create an owner token for the room)",
+    )
+
+    args, unknown = parser.parse_known_args()
+
+    url = args.url or os.getenv("DAILY_SAMPLE_ROOM_URL")
+    key = args.apikey or os.getenv("DAILY_API_KEY")
+
+    if not url:
+        raise Exception(
+            "No Daily room specified. use the -u/--url option from the command line, or set DAILY_SAMPLE_ROOM_URL in your environment to specify a Daily room URL."
+        )
+
+    if not key:
+        raise Exception(
+            "No Daily API key specified. use the -k/--apikey option from the command line, or set DAILY_API_KEY in your environment to specify a Daily API key, available from https://dashboard.daily.co/developers."
+        )
+
+    daily_rest_helper = DailyRESTHelper(
+        daily_api_key=key,
+        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
+        aiohttp_session=aiohttp_session,
+    )
+
+    # Create a meeting token for the given room with an expiration 1 hour in
+    # the future.
+    expiry_time: float = 60 * 60
+
+    token = await daily_rest_helper.get_token(url, expiry_time)
+
+    return (url, token)

examples/chatbot-audio-recording/server.py

@@ -0,0 +1,139 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import os
+import subprocess
+from contextlib import asynccontextmanager
+
+import aiohttp
+from dotenv import load_dotenv
+from fastapi import FastAPI, HTTPException, Request
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse, RedirectResponse
+
+from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper, DailyRoomParams
+
+MAX_BOTS_PER_ROOM = 1
+
+# Bot sub-process dict for status reporting and concurrency control
+bot_procs = {}
+
+daily_helpers = {}
+
+load_dotenv(override=True)
+
+
+def cleanup():
+    # Clean up function, just to be extra safe
+    for entry in bot_procs.values():
+        proc = entry[0]
+        proc.terminate()
+        proc.wait()
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    aiohttp_session = aiohttp.ClientSession()
+    daily_helpers["rest"] = DailyRESTHelper(
+        daily_api_key=os.getenv("DAILY_API_KEY", ""),
+        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
+        aiohttp_session=aiohttp_session,
+    )
+    yield
+    await aiohttp_session.close()
+    cleanup()
+
+
+app = FastAPI(lifespan=lifespan)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+@app.get("/")
+async def start_agent(request: Request):
+    print(f"!!! Creating room")
+    room = await daily_helpers["rest"].create_room(DailyRoomParams())
+    print(f"!!! Room URL: {room.url}")
+    # Ensure the room property is present
+    if not room.url:
+        raise HTTPException(
+            status_code=500,
+            detail="Missing 'room' property in request data. Cannot start agent without a target room!",
+        )
+
+    # Check if there is already an existing process running in this room
+    num_bots_in_room = sum(
+        1 for proc in bot_procs.values() if proc[1] == room.url and proc[0].poll() is None
+    )
+    if num_bots_in_room >= MAX_BOTS_PER_ROOM:
+        raise HTTPException(status_code=500, detail=f"Max bot limited reach for room: {room.url}")
+
+    # Get the token for the room
+    token = await daily_helpers["rest"].get_token(room.url)
+
+    if not token:
+        raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}")
+
+    # Spawn a new agent, and join the user session
+    # Note: this is mostly for demonstration purposes (refer to 'deployment' in README)
+    try:
+        proc = subprocess.Popen(
+            [f"python3 -m bot -u {room.url} -t {token}"],
+            shell=True,
+            bufsize=1,
+            cwd=os.path.dirname(os.path.abspath(__file__)),
+        )
+        bot_procs[proc.pid] = (proc, room.url)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
+
+    return RedirectResponse(room.url)
+
+
+@app.get("/status/{pid}")
+def get_status(pid: int):
+    # Look up the subprocess
+    proc = bot_procs.get(pid)
+
+    # If the subprocess doesn't exist, return an error
+    if not proc:
+        raise HTTPException(status_code=404, detail=f"Bot with process id: {pid} not found")
+
+    # Check the status of the subprocess
+    if proc[0].poll() is None:
+        status = "running"
+    else:
+        status = "finished"
+
+    return JSONResponse({"bot_id": pid, "status": status})
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    default_host = os.getenv("HOST", "0.0.0.0")
+    default_port = int(os.getenv("FAST_API_PORT", "7860"))
+
+    parser = argparse.ArgumentParser(description="Daily Storyteller FastAPI server")
+    parser.add_argument("--host", type=str, default=default_host, help="Host address")
+    parser.add_argument("--port", type=int, default=default_port, help="Port number")
+    parser.add_argument("--reload", action="store_true", help="Reload code on change")
+
+    config = parser.parse_args()
+
+    uvicorn.run(
+        "server:app",
+        host=config.host,
+        port=config.port,
+        reload=config.reload,
+    )

examples/daily-custom-tracks/README.md

@@ -0,0 +1,39 @@
+# Daily Custom Tracks
+
+This example shows how to send and receive Daily custom tracks. We will run a simple `daily-python` application to send an audio file with a custom track (named "pipecat") to a room. Then, the Pipecat bot will mirror that custom track into another custom track (named "pipecat-mirror") in the same room.
+
+## Get started
+
+```python
+python3 -m venv venv
+source venv/bin/activate
+pip install -r requirements.txt
+```
+
+## Run the bot
+
+Start the bot by giving it a Daily room URL.
+
+```bash
+python bot.py -u ROOM_URL
+```
+
+The bot will wait for the first participant to join. Then, it will mirror a custom track named "pipecat" into a new custom track named "pipecat-mirror".
+
+## Run the sender
+
+Now, run the custom track sender. This is a simple `daily-python` application that opens and audio file and sends it as a custom track to the same Daily room.
+
+```bash
+python custom_track_sender.py -u ROOM_URL -i office-ambience-mono-16000.mp3
+```
+
+## Open client
+
+Finally, open the client so you can hear both custom tracks.
+
+```bash
+open index.html
+```
+
+Once the client is opened, copy the URL of the Daily room and join it. You should be able to select which custom track you want to hear.

examples/daily-custom-tracks/bot.py

@@ -0,0 +1,87 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import asyncio
+import sys
+
+import aiohttp
+from loguru import logger
+from runner import configure
+
+from pipecat.frames.frames import Frame, InputAudioRawFrame, OutputAudioRawFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
+from pipecat.transports.services.daily import DailyParams, DailyTransport
+
+logger.remove(0)
+logger.add(sys.stderr, level="DEBUG")
+
+
+class CustomTrackMirrorProcessor(FrameProcessor):
+    def __init__(self, transport_destination: str, **kwargs):
+        super().__init__(**kwargs)
+        self._transport_destination = transport_destination
+
+    async def process_frame(self, frame: Frame, direction: FrameDirection):
+        await super().process_frame(frame, direction)
+
+        if isinstance(frame, InputAudioRawFrame) and frame.transport_source:
+            output_frame = OutputAudioRawFrame(
+                audio=frame.audio,
+                sample_rate=frame.sample_rate,
+                num_channels=frame.num_channels,
+            )
+            output_frame.transport_destination = self._transport_destination
+            await self.push_frame(output_frame)
+        else:
+            await self.push_frame(frame, direction)
+
+
+async def main():
+    async with aiohttp.ClientSession() as session:
+        (room_url, _) = await configure(session)
+
+        transport = DailyTransport(
+            room_url,
+            None,
+            "Custom tracks mirror",
+            DailyParams(
+                audio_in_enabled=True,
+                audio_out_enabled=True,
+                microphone_out_enabled=False,  # Disable since we just use custom tracks
+                audio_out_destinations=["pipecat-mirror"],
+            ),
+        )
+
+        pipeline = Pipeline(
+            [
+                transport.input(),  # Transport user input
+                CustomTrackMirrorProcessor("pipecat-mirror"),
+                transport.output(),  # Transport bot output
+            ]
+        )
+
+        task = PipelineTask(
+            pipeline,
+            params=PipelineParams(
+                audio_in_sample_rate=16000,
+                audio_out_sample_rate=16000,
+            ),
+        )
+
+        @transport.event_handler("on_first_participant_joined")
+        async def on_first_participant_joined(transport, participant):
+            await transport.capture_participant_audio(participant["id"], audio_source="pipecat")
+
+        runner = PipelineRunner()
+
+        await runner.run(task)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

examples/daily-custom-tracks/custom_track_sender.py

@@ -0,0 +1,74 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import time
+
+from daily import CallClient, CustomAudioSource, Daily
+from pydub import AudioSegment
+
+parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
+parser.add_argument("-u", "--url", type=str, required=True, help="URL of the Daily room to join")
+parser.add_argument(
+    "-i", "--input", type=str, required=True, help="Input audio file (needs 16000 sample rate)"
+)
+
+args, _ = parser.parse_known_args()
+
+audio = AudioSegment.from_mp3(args.input)
+
+raw_bytes = audio.raw_data
+sample_rate = audio.frame_rate
+channels = audio.channels
+
+print(f"Length: {len(raw_bytes)} bytes")
+print(f"Sample rate: {sample_rate}, Channels: {channels}")
+
+# Initialize the Daily context & create call client
+Daily.init()
+
+client = CallClient()
+
+# Join the room and indicate we have a custom track named "pipecat".
+client.join(
+    args.url,
+    client_settings={
+        "publishing": {
+            "camera": False,
+            "microphone": False,
+            "customAudio": {"pipecat": True},
+        },
+    },
+)
+
+# Just sleep for a couple of seconds. To do this well we should really use
+# completions.
+time.sleep(2)
+
+# Create the custom audio source. This is where we will write our audio.
+audio_source = CustomAudioSource(sample_rate, channels)
+
+# Create an audio track and assign it our audio source.
+client.add_custom_audio_track("pipecat", audio_source)
+
+# Just sleep for a second. To do this well we should really use completions.
+time.sleep(1)
+
+try:
+    # Just write one second of audio until we have read all the file.
+    chunk_size = sample_rate * channels * 2
+    while len(raw_bytes) > 0:
+        chunk = raw_bytes[:chunk_size]
+        raw_bytes = raw_bytes[chunk_size:]
+        audio_source.write_frames(chunk)
+
+except KeyboardInterrupt:
+    client.leave()
+
+# Just sleep for a second. To do this well we should really use completions.
+time.sleep(1)
+
+client.release()

examples/daily-custom-tracks/index.html

@@ -0,0 +1,173 @@
+<html>
+  <head>
+    <title>daily custom tracks</title>
+  </head>
+  <script crossorigin src="https://unpkg.com/@daily-co/daily-js"></script>
+  <script src="https://cdnjs.cloudflare.com/ajax/libs/fomantic-ui/2.8.6/semantic.min.js"></script>
+  <link
+    rel="stylesheet"
+    type="text/css"
+    href="https://cdnjs.cloudflare.com/ajax/libs/fomantic-ui/2.8.6/semantic.min.css"
+    />
+  <script>
+    function enableButton(buttonId, enable) {
+        const button = document.getElementById(buttonId);
+        button.disabled = !enable;
+    }
+
+    function enableJoinButton(enable) {
+        enableButton("join-button", enable);
+    }
+
+    function enableLeaveButton(enable) {
+        enableButton("leave-button", enable);
+    }
+
+    function destroyPlayers(query) {
+        const items = document.querySelectorAll(query);
+        if (items) {
+            for (const item of items) {
+                item.remove();
+            }
+        }
+    }
+
+    function destroyParticipantPlayers(participantId) {
+        destroyPlayers(`audio[data-participant-id="${participantId}"]`);
+        destroyPlayers(`button[data-participant-id="${participantId}"]`);
+    }
+
+    async function startPlayer(player, track) {
+        player.muted = false;
+        player.autoplay = true;
+        if (track != null) {
+            player.srcObject = new MediaStream([track]);
+        }
+    }
+
+    async function buildAudioPlayer(track, participantId) {
+        const audioContainer = document.getElementById("audio-container");
+        const player = document.createElement("audio");
+        player.dataset.participantId = participantId;
+
+        // Create a new button for controlling audio
+        const audioControlButton = document.createElement("button");
+        audioControlButton.className = "ui primary green button"
+        audioControlButton.innerText = track._mediaTag == "cam-audio" ? "english" : track._mediaTag;
+        audioControlButton.dataset.participantId = participantId;
+        audioControlButton.onclick = () => {
+            if (player.paused) {
+
+                player.play();
+                audioControlButton.className = "ui primary red button"
+            } else {
+                player.pause();
+                audioControlButton.className = "ui primary green button"
+            }
+        };
+
+        audioContainer.appendChild(player);
+        audioContainer.appendChild(audioControlButton);
+
+        await startPlayer(player, track);
+        player.pause()
+
+        return player;
+    }
+
+    function subscribeToTracks(participantId) {
+        console.log(`subscribing to track`);
+
+        if (participantId === "local") {
+            return;
+        }
+
+        callObject.updateParticipant(participantId, {
+            setSubscribedTracks: {
+                audio: true,
+                video: false,
+                custom: true,
+            },
+        });
+    }
+
+    function startDaily() {
+        enableJoinButton(true);
+        enableLeaveButton(false);
+
+        window.callObject = window.DailyIframe.createCallObject({});
+
+        callObject.on("participant-joined", (e) => {
+            if (!e.participant.local) {
+                console.log("participant-joined", e.participant);
+               subscribeToTracks(e.participant.session_id);
+            }
+        });
+
+        callObject.on("participant-left", (e) => {
+            console.log("participant-left", e.participant.session_id);
+            destroyParticipantPlayers(e.participant.session_id);
+        });
+
+        callObject.on("track-started", async (e) => {
+            console.log("track-started", e.track);
+            if (e.track.kind === "audio") {
+                await buildAudioPlayer(e.track, e.participant.session_id);
+            }
+        });
+    }
+
+    async function joinRoom() {
+        enableJoinButton(false);
+        enableLeaveButton(true);
+
+        const meetingUrl = document.getElementById("meeting-url").value;
+
+        callObject.join({
+            url: meetingUrl,
+            startVideoOff: true,
+            startAudioOff: true,
+            subscribeToTracksAutomatically: false,
+            receiveSettings: {
+                base: { video: { layer: 0 } },
+            },
+        });
+    }
+
+    async function leaveRoom() {
+        enableJoinButton(true);
+        enableLeaveButton(false);
+
+        callObject.leave();
+
+        const audioContainer = document.getElementById("audio-container");
+        audioContainer.replaceChildren();
+    }
+  </script>
+
+  <body onload="startDaily()">
+    <div class="ui centered page grid" style="margin-top: 30px">
+      <div class="ten wide column">
+        <div class="ui form" style="margin-top: 30px">
+          <div class="field">
+            <label>Meeting URL</label>
+            <input id="meeting-url" value="" />
+          </div>
+        </div>
+      </div>
+    </div>
+    <div class="ui centered aligned header" style="margin-top: 30px">
+      <button id="join-button" class="ui primary button" onclick="joinRoom()">
+        Join
+      </button>
+      <button id="leave-button" class="ui button" onclick="leaveRoom()">
+        Leave
+      </button>
+    </div>
+    <div id="tile" class="ui container" style="margin-top: 30px">
+      <div id="tile" class="ui center aligned grid">
+        <div id="audio-container"></div><br/>
+      </div>
+    </div>
+  </body>
+</html>

examples/daily-custom-tracks/requirements.txt

@@ -0,0 +1,2 @@
+pydub
+pipecat-ai[daily]

examples/daily-custom-tracks/runner.py

@@ -0,0 +1,55 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import os
+
+import aiohttp
+
+from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
+
+
+async def configure(aiohttp_session: aiohttp.ClientSession):
+    parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
+    parser.add_argument(
+        "-u", "--url", type=str, required=False, help="URL of the Daily room to join"
+    )
+    parser.add_argument(
+        "-k",
+        "--apikey",
+        type=str,
+        required=False,
+        help="Daily API Key (needed to create an owner token for the room)",
+    )
+
+    args, unknown = parser.parse_known_args()
+
+    url = args.url or os.getenv("DAILY_SAMPLE_ROOM_URL")
+    key = args.apikey or os.getenv("DAILY_API_KEY")
+
+    if not url:
+        raise Exception(
+            "No Daily room specified. use the -u/--url option from the command line, or set DAILY_SAMPLE_ROOM_URL in your environment to specify a Daily room URL."
+        )
+
+    if not key:
+        raise Exception(
+            "No Daily API key specified. use the -k/--apikey option from the command line, or set DAILY_API_KEY in your environment to specify a Daily API key, available from https://dashboard.daily.co/developers."
+        )
+
+    daily_rest_helper = DailyRESTHelper(
+        daily_api_key=key,
+        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
+        aiohttp_session=aiohttp_session,
+    )
+
+    # Create a meeting token for the given room with an expiration 1 hour in
+    # the future.
+    expiry_time: float = 60 * 60
+
+    token = await daily_rest_helper.get_token(url, expiry_time)
+
+    return (url, token)

examples/daily-multi-translation/Dockerfile

@@ -0,0 +1,15 @@
+FROM python:3.10-bullseye
+
+RUN mkdir /app
+RUN mkdir /app/assets
+RUN mkdir /app/utils
+COPY *.py /app/
+COPY requirements.txt /app/
+
+
+WORKDIR /app
+RUN pip3 install -r requirements.txt
+
+EXPOSE 7860
+
+CMD ["python3", "server.py"]

examples/daily-multi-translation/README.md

@@ -0,0 +1,39 @@
+# Daily Multi Translation
+
+This example shows how to use Daily to stream multiple simultaneous translations using a single transport. Daily provides custom tracks and in this example we will simultaneously translate incoming audio in English to Spanish, French and German, each of them being sent to a custom track.
+
+## Get started
+
+```python
+python3 -m venv venv
+source venv/bin/activate
+pip install -r requirements.txt
+
+cp env.example .env # and add your credentials
+
+```
+
+## Run the server
+
+```bash
+python server.py
+```
+
+Then, visit `http://localhost:7860/` in your browser. This will open a Daily Prebuilt room where you will speak in English (make sure you are not muted).
+
+## Open client
+
+Next, you need to open the client that will listen to the translations.
+
+```bash
+open index.html
+```
+
+Once the client is opened, copy the URL of the Daily room created above and join it. You should be able to select which translation you want to hear.
+
+## Build and test the Docker image
+
+```
+docker build -t daily-multi-translation .
+docker run --env-file .env -p 7860:7860 daily-multi-translation
+```

examples/daily-multi-translation/bot.py

@@ -0,0 +1,165 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import asyncio
+import os
+import sys
+
+import aiohttp
+from dotenv import load_dotenv
+from loguru import logger
+from runner import configure
+
+from pipecat.audio.mixers.soundfile_mixer import SoundfileMixer
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.observers.loggers.transcription_log_observer import TranscriptionLogObserver
+from pipecat.pipeline.parallel_pipeline import ParallelPipeline
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
+from pipecat.services.cartesia.tts import CartesiaTTSService
+from pipecat.services.deepgram.stt import DeepgramSTTService
+from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.transports.services.daily import DailyParams, DailyTransport
+
+load_dotenv(override=True)
+
+logger.remove(0)
+logger.add(sys.stderr, level="DEBUG")
+
+BACKGROUND_SOUND_FILE = "office-ambience-mono-16000.mp3"
+
+
+async def main():
+    async with aiohttp.ClientSession() as session:
+        (room_url, token) = await configure(session)
+
+        transport = DailyTransport(
+            room_url,
+            token,
+            "Multi translation bot",
+            DailyParams(
+                audio_in_enabled=True,
+                audio_out_enabled=True,
+                audio_out_mixer={
+                    "spanish": SoundfileMixer(
+                        sound_files={"office": BACKGROUND_SOUND_FILE}, default_sound="office"
+                    ),
+                    "french": SoundfileMixer(
+                        sound_files={"office": BACKGROUND_SOUND_FILE}, default_sound="office"
+                    ),
+                    "german": SoundfileMixer(
+                        sound_files={"office": BACKGROUND_SOUND_FILE}, default_sound="office"
+                    ),
+                },
+                audio_out_destinations=["spanish", "french", "german"],
+                microphone_out_enabled=False,  # Disable since we just use custom tracks
+                vad_analyzer=SileroVADAnalyzer(),
+            ),
+        )
+
+        stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
+
+        tts_spanish = CartesiaTTSService(
+            api_key=os.getenv("CARTESIA_API_KEY"),
+            voice_id="cefcb124-080b-4655-b31f-932f3ee743de",
+            transport_destination="spanish",
+        )
+        tts_french = CartesiaTTSService(
+            api_key=os.getenv("CARTESIA_API_KEY"),
+            voice_id="8832a0b5-47b2-4751-bb22-6a8e2149303d",
+            transport_destination="french",
+        )
+        tts_german = CartesiaTTSService(
+            api_key=os.getenv("CARTESIA_API_KEY"),
+            voice_id="38aabb6a-f52b-4fb0-a3d1-988518f4dc06",
+            transport_destination="german",
+        )
+
+        messages_spanish = [
+            {
+                "role": "system",
+                "content": "You will be provided with a sentence in English, and your task is to only translate it into Spanish.",
+            },
+        ]
+        messages_french = [
+            {
+                "role": "system",
+                "content": "You will be provided with a sentence in English, and your task is to only translate it into French.",
+            },
+        ]
+        messages_german = [
+            {
+                "role": "system",
+                "content": "You will be provided with a sentence in English, and your task is to only translate it into German.",
+            },
+        ]
+
+        llm_spanish = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+        llm_french = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+        llm_german = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+
+        context_spanish = OpenAILLMContext(messages_spanish)
+        context_aggregator_spanish = llm_spanish.create_context_aggregator(context_spanish)
+
+        context_french = OpenAILLMContext(messages_french)
+        context_aggregator_french = llm_french.create_context_aggregator(context_french)
+
+        context_german = OpenAILLMContext(messages_german)
+        context_aggregator_german = llm_german.create_context_aggregator(context_german)
+
+        pipeline = Pipeline(
+            [
+                transport.input(),  # Transport user input
+                stt,
+                ParallelPipeline(
+                    # Spanish pipeline.
+                    [
+                        context_aggregator_spanish.user(),
+                        llm_spanish,
+                        tts_spanish,
+                        context_aggregator_spanish.assistant(),
+                    ],
+                    # French pipeline.
+                    [
+                        context_aggregator_french.user(),
+                        llm_french,
+                        tts_french,
+                        context_aggregator_french.assistant(),
+                    ],
+                    # German pipeline.
+                    [
+                        context_aggregator_german.user(),
+                        llm_german,
+                        tts_german,
+                        context_aggregator_german.assistant(),
+                    ],
+                ),
+                transport.output(),  # Transport bot output
+            ]
+        )
+
+        task = PipelineTask(
+            pipeline,
+            params=PipelineParams(
+                audio_in_sample_rate=16000,
+                audio_out_sample_rate=16000,
+                allow_interruptions=True,
+                enable_metrics=True,
+                enable_usage_metrics=True,
+                report_only_initial_ttfb=True,
+            ),
+            observers=[TranscriptionLogObserver()],
+        )
+
+        runner = PipelineRunner()
+
+        await runner.run(task)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

examples/daily-multi-translation/env.example

@@ -0,0 +1,5 @@
+DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (for joining the bot to the same room repeatedly for local dev)
+DAILY_API_KEY=7df...
+OPENAI_API_KEY=sk-PL...
+DEEPGRAM_API_KEY=efb...
+CARTESIA_API_KEY=aeb...

examples/daily-multi-translation/index.html

@@ -0,0 +1,202 @@
+<html>
+  <head>
+    <title>daily multi translation</title>
+  </head>
+  <script crossorigin src="https://unpkg.com/@daily-co/daily-js"></script>
+  <script
+    src="https://code.jquery.com/jquery-3.1.1.min.js"
+    integrity="sha256-hVVnYaiADRTO2PzUGmuLJr8BLUSjGIZsDYGmIJLv2b8="
+    crossorigin="anonymous"
+    ></script>
+  <script src="https://cdnjs.cloudflare.com/ajax/libs/fomantic-ui/2.8.6/semantic.min.js"></script>
+  <link
+    rel="stylesheet"
+    type="text/css"
+    href="https://cdnjs.cloudflare.com/ajax/libs/fomantic-ui/2.8.6/semantic.min.css"
+    />
+  <script>
+    function enableButton(buttonId, enable) {
+        const button = document.getElementById(buttonId);
+        button.disabled = !enable;
+    }
+
+    function enableJoinButton(enable) {
+        enableButton("join-button", enable);
+    }
+
+    function enableLeaveButton(enable) {
+        enableButton("leave-button", enable);
+    }
+
+    function destroyPlayers(query) {
+        const items = document.querySelectorAll(query);
+        if (items) {
+            for (const item of items) {
+                item.remove();
+            }
+        }
+    }
+
+    function destroyParticipantPlayers(participantId) {
+        destroyPlayers(`video[data-participant-id="${participantId}"]`);
+        destroyPlayers(`audio[data-participant-id="${participantId}"]`);
+        destroyPlayers(`button[data-participant-id="${participantId}"]`);
+    }
+
+    async function startPlayer(player, track) {
+        player.muted = false;
+        player.autoplay = true;
+        if (track != null) {
+            player.srcObject = new MediaStream([track]);
+        }
+    }
+
+    async function buildVideoPlayer(track, participantId) {
+        const videoContainer = document.getElementById("video-container");
+        const player = document.createElement("video");
+        player.dataset.participantId = participantId;
+
+        videoContainer.appendChild(player);
+
+        await startPlayer(player, track);
+        await player.play();
+
+        return player;
+    }
+
+    async function buildAudioPlayer(track, participantId) {
+        const audioContainer = document.getElementById("audio-container");
+        const player = document.createElement("audio");
+        player.dataset.participantId = participantId;
+
+        // Create a new button for controlling audio
+        const audioControlButton = document.createElement("button");
+        audioControlButton.className = "ui primary green button"
+        audioControlButton.innerText = track._mediaTag == "cam-audio" ? "english" : track._mediaTag;
+        audioControlButton.dataset.participantId = participantId;
+        audioControlButton.onclick = () => {
+            if (player.paused) {
+
+                player.play();
+                audioControlButton.className = "ui primary red button"
+            } else {
+                player.pause();
+                audioControlButton.className = "ui primary green button"
+            }
+        };
+
+        audioContainer.appendChild(player);
+        audioContainer.appendChild(audioControlButton);
+
+        await startPlayer(player, track);
+        player.pause()
+
+        return player;
+    }
+
+    function subscribeToTracks(participantId) {
+        console.log(`subscribing to track`);
+
+        if (participantId === "local") {
+            return;
+        }
+
+        callObject.updateParticipant(participantId, {
+            setSubscribedTracks: {
+                audio: true,
+                video: true,
+                custom: true,
+            },
+        });
+    }
+
+    function startDaily() {
+        enableJoinButton(true);
+        enableLeaveButton(false);
+
+        window.callObject = window.DailyIframe.createCallObject({});
+
+        callObject.on("participant-joined", (e) => {
+            if (!e.participant.local) {
+                console.log("participant-joined", e.participant);
+               subscribeToTracks(e.participant.session_id);
+            }
+        });
+
+        callObject.on("participant-left", (e) => {
+            console.log("participant-left", e.participant.session_id);
+            destroyParticipantPlayers(e.participant.session_id);
+        });
+
+        callObject.on("track-started", async (e) => {
+            console.log("track-started", e.track);
+            if (e.track.kind === "video") {
+                await buildVideoPlayer(e.track, e.participant.session_id);
+            } else if (e.track.kind === "audio") {
+                await buildAudioPlayer(e.track, e.participant.session_id);
+            }
+        });
+    }
+
+    async function joinRoom() {
+        enableJoinButton(false);
+        enableLeaveButton(true);
+
+        const meetingUrl = document.getElementById("meeting-url").value;
+
+        callObject.join({
+            url: meetingUrl,
+            startVideoOff: true,
+            startAudioOff: true,
+            subscribeToTracksAutomatically: false,
+            receiveSettings: {
+                base: { video: { layer: 0 } },
+            },
+        });
+    }
+
+    async function leaveRoom() {
+        enableJoinButton(true);
+        enableLeaveButton(false);
+
+        callObject.leave();
+
+        const videoContainer = document.getElementById("video-container");
+        videoContainer.replaceChildren();
+
+        const audioContainer = document.getElementById("audio-container");
+        audioContainer.replaceChildren();
+    }
+  </script>
+
+  <body onload="startDaily()">
+    <div class="ui centered page grid" style="margin-top: 30px">
+      <div class="ten wide column">
+        <div class="ui form" style="margin-top: 30px">
+          <div class="field">
+            <label>Meeting URL</label>
+            <input id="meeting-url" value="" />
+          </div>
+        </div>
+      </div>
+    </div>
+    <div class="ui centered aligned header" style="margin-top: 30px">
+      <button id="join-button" class="ui primary button" onclick="joinRoom()">
+        Join
+      </button>
+      <button id="leave-button" class="ui button" onclick="leaveRoom()">
+        Leave
+      </button>
+    </div>
+    <div id="tile" class="ui container" style="margin-top: 30px">
+      <div id="tile" class="ui center aligned grid">
+        <div id="audio-container"></div><br/>
+      </div>
+    </div>
+    <div id="tile" class="ui container" style="margin-top: 30px">
+      <div id="tile" class="ui center aligned grid">
+        <div id="video-container" class="ui segment"></div>
+      </div>
+    </div>
+  </body>
+</html>

examples/daily-multi-translation/requirements.txt

@@ -0,0 +1,5 @@
+aiofiles
+python-dotenv
+fastapi[all]
+uvicorn
+pipecat-ai[daily,deepgram,openai,silero,cartesia]

examples/daily-multi-translation/runner.py

@@ -0,0 +1,55 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import os
+
+import aiohttp
+
+from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
+
+
+async def configure(aiohttp_session: aiohttp.ClientSession):
+    parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
+    parser.add_argument(
+        "-u", "--url", type=str, required=False, help="URL of the Daily room to join"
+    )
+    parser.add_argument(
+        "-k",
+        "--apikey",
+        type=str,
+        required=False,
+        help="Daily API Key (needed to create an owner token for the room)",
+    )
+
+    args, unknown = parser.parse_known_args()
+
+    url = args.url or os.getenv("DAILY_SAMPLE_ROOM_URL")
+    key = args.apikey or os.getenv("DAILY_API_KEY")
+
+    if not url:
+        raise Exception(
+            "No Daily room specified. use the -u/--url option from the command line, or set DAILY_SAMPLE_ROOM_URL in your environment to specify a Daily room URL."
+        )
+
+    if not key:
+        raise Exception(
+            "No Daily API key specified. use the -k/--apikey option from the command line, or set DAILY_API_KEY in your environment to specify a Daily API key, available from https://dashboard.daily.co/developers."
+        )
+
+    daily_rest_helper = DailyRESTHelper(
+        daily_api_key=key,
+        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
+        aiohttp_session=aiohttp_session,
+    )
+
+    # Create a meeting token for the given room with an expiration 1 hour in
+    # the future.
+    expiry_time: float = 60 * 60
+
+    token = await daily_rest_helper.get_token(url, expiry_time)
+
+    return (url, token)

examples/daily-multi-translation/server.py

@@ -0,0 +1,139 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import os
+import subprocess
+from contextlib import asynccontextmanager
+
+import aiohttp
+from dotenv import load_dotenv
+from fastapi import FastAPI, HTTPException, Request
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse, RedirectResponse
+
+from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper, DailyRoomParams
+
+MAX_BOTS_PER_ROOM = 1
+
+# Bot sub-process dict for status reporting and concurrency control
+bot_procs = {}
+
+daily_helpers = {}
+
+load_dotenv(override=True)
+
+
+def cleanup():
+    # Clean up function, just to be extra safe
+    for entry in bot_procs.values():
+        proc = entry[0]
+        proc.terminate()
+        proc.wait()
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    aiohttp_session = aiohttp.ClientSession()
+    daily_helpers["rest"] = DailyRESTHelper(
+        daily_api_key=os.getenv("DAILY_API_KEY", ""),
+        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
+        aiohttp_session=aiohttp_session,
+    )
+    yield
+    await aiohttp_session.close()
+    cleanup()
+
+
+app = FastAPI(lifespan=lifespan)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+@app.get("/")
+async def start_agent(request: Request):
+    print(f"!!! Creating room")
+    room = await daily_helpers["rest"].create_room(DailyRoomParams())
+    print(f"!!! Room URL: {room.url}")
+    # Ensure the room property is present
+    if not room.url:
+        raise HTTPException(
+            status_code=500,
+            detail="Missing 'room' property in request data. Cannot start agent without a target room!",
+        )
+
+    # Check if there is already an existing process running in this room
+    num_bots_in_room = sum(
+        1 for proc in bot_procs.values() if proc[1] == room.url and proc[0].poll() is None
+    )
+    if num_bots_in_room >= MAX_BOTS_PER_ROOM:
+        raise HTTPException(status_code=500, detail=f"Max bot limited reach for room: {room.url}")
+
+    # Get the token for the room
+    token = await daily_helpers["rest"].get_token(room.url)
+
+    if not token:
+        raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}")
+
+    # Spawn a new agent, and join the user session
+    # Note: this is mostly for demonstration purposes (refer to 'deployment' in README)
+    try:
+        proc = subprocess.Popen(
+            [f"python3 -m bot -u {room.url} -t {token}"],
+            shell=True,
+            bufsize=1,
+            cwd=os.path.dirname(os.path.abspath(__file__)),
+        )
+        bot_procs[proc.pid] = (proc, room.url)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
+
+    return RedirectResponse(room.url)
+
+
+@app.get("/status/{pid}")
+def get_status(pid: int):
+    # Look up the subprocess
+    proc = bot_procs.get(pid)
+
+    # If the subprocess doesn't exist, return an error
+    if not proc:
+        raise HTTPException(status_code=404, detail=f"Bot with process id: {pid} not found")
+
+    # Check the status of the subprocess
+    if proc[0].poll() is None:
+        status = "running"
+    else:
+        status = "finished"
+
+    return JSONResponse({"bot_id": pid, "status": status})
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    default_host = os.getenv("HOST", "0.0.0.0")
+    default_port = int(os.getenv("FAST_API_PORT", "7860"))
+
+    parser = argparse.ArgumentParser(description="Daily Storyteller FastAPI server")
+    parser.add_argument("--host", type=str, default=default_host, help="Host address")
+    parser.add_argument("--port", type=int, default=default_port, help="Port number")
+    parser.add_argument("--reload", action="store_true", help="Reload code on change")
+
+    config = parser.parse_args()
+
+    uvicorn.run(
+        "server:app",
+        host=config.host,
+        port=config.port,
+        reload=config.reload,
+    )

examples/deployment/flyio-example/Dockerfile

@@ -0,0 +1,13 @@
+FROM python:3.11-bullseye
+
+# Open port 7860 for http service
+ENV FAST_API_PORT=7860
+EXPOSE 7860
+
+# Install Python dependencies
+COPY *.py .
+COPY ./requirements.txt requirements.txt
+RUN pip3 install --no-cache-dir --upgrade -r requirements.txt
+
+# Start the FastAPI server
+CMD python3 bot_runner.py --port ${FAST_API_PORT}

examples/deployment/flyio-example/README.md

@@ -0,0 +1,39 @@
+# Fly.io deployment example
+
+This project modifies the `bot_runner.py` server to launch a new machine for each user session. This is a recommended approach for production vs. running shell processess as your deployment will quickly run out of system resources under load.
+
+For this example, we are using Daily as a WebRTC transport and provisioning a new room and token for each session. You can use another transport, such as WebSockets, by modifying the `bot.py` and `bot_runner.py` files accordingly.
+
+## Setting up your fly.io deployment
+
+### Create your fly.toml file
+
+You can copy the `example-fly.toml` as a reference. Be sure to change the app name to something unique.
+
+### Create your .env file
+
+Copy the base `env.example` to `.env` and enter the necessary API keys.
+
+`FLY_APP_NAME` should match that in the `fly.toml` file.
+
+### Launch a new fly.io project
+
+`fly launch` or `fly launch --org your-org-name`
+
+### Set the necessary app secrets from your .env
+
+Note: you can do this manually via the fly.io dashboard under the "secrets" sub-section of your deployment (e.g. "https://fly.io/apps/fly-app-name/secrets") or run the following terminal command:
+
+`cat .env | tr '\n' ' ' | xargs flyctl secrets set`
+
+### Deploy your machine
+
+`fly deploy`
+
+## Connecting to your bot
+
+Send a post request to your running fly.io instance:
+
+`curl --location --request POST 'https://YOUR_FLY_APP_NAME/'`
+
+This request will wait until the machine enters into a `starting` state, before returning the a room URL and token to join.

examples/deployment/flyio-example/bot.py

@@ -0,0 +1,107 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import asyncio
+import os
+import sys
+
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import EndFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
+from pipecat.services.elevenlabs.tts import ElevenLabsTTSService
+from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.transports.services.daily import DailyParams, DailyTransport
+
+load_dotenv(override=True)
+
+logger.remove(0)
+logger.add(sys.stderr, level="DEBUG")
+
+daily_api_key = os.getenv("DAILY_API_KEY", "")
+daily_api_url = os.getenv("DAILY_API_URL", "https://api.daily.co/v1")
+
+
+async def main(room_url: str, token: str):
+    transport = DailyTransport(
+        room_url,
+        token,
+        "Chatbot",
+        DailyParams(
+            api_url=daily_api_url,
+            api_key=daily_api_key,
+            audio_in_enabled=True,
+            audio_out_enabled=True,
+            video_out_enabled=False,
+            vad_analyzer=SileroVADAnalyzer(),
+            transcription_enabled=True,
+        ),
+    )
+
+    tts = ElevenLabsTTSService(
+        api_key=os.getenv("ELEVENLABS_API_KEY", ""),
+        voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""),
+    )
+
+    llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+
+    messages = [
+        {
+            "role": "system",
+            "content": "You are Chatbot, a friendly, helpful robot. Your output will be converted to audio so don't include special characters other than '!' or '?' in your answers. Respond to what the user said in a creative and helpful way, but keep your responses brief. Start by saying hello.",
+        },
+    ]
+
+    context = OpenAILLMContext(messages)
+    context_aggregator = llm.create_context_aggregator(context)
+
+    pipeline = Pipeline(
+        [
+            transport.input(),
+            context_aggregator.user(),
+            llm,
+            tts,
+            transport.output(),
+            context_aggregator.assistant(),
+        ]
+    )
+
+    task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
+
+    @transport.event_handler("on_first_participant_joined")
+    async def on_first_participant_joined(transport, participant):
+        await transport.capture_participant_transcription(participant["id"])
+        await task.queue_frames([context_aggregator.user().get_context_frame()])
+
+    @transport.event_handler("on_participant_left")
+    async def on_participant_left(transport, participant, reason):
+        await task.cancel()
+
+    @transport.event_handler("on_call_state_updated")
+    async def on_call_state_updated(transport, state):
+        if state == "left":
+            # Here we don't want to cancel, we just want to finish sending
+            # whatever is queued, so we use an EndFrame().
+            await task.queue_frame(EndFrame())
+
+    runner = PipelineRunner()
+
+    await runner.run(task)
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Pipecat Bot")
+    parser.add_argument("-u", type=str, help="Room URL")
+    parser.add_argument("-t", type=str, help="Token")
+    config = parser.parse_args()
+
+    asyncio.run(main(config.u, config.t))

examples/deployment/flyio-example/bot_runner.py

@@ -0,0 +1,209 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import os
+import subprocess
+from contextlib import asynccontextmanager
+
+import aiohttp
+from dotenv import load_dotenv
+from fastapi import FastAPI, HTTPException, Request
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse
+
+from pipecat.transports.services.helpers.daily_rest import (
+    DailyRESTHelper,
+    DailyRoomObject,
+    DailyRoomParams,
+    DailyRoomProperties,
+)
+
+load_dotenv(override=True)
+
+
+# ------------ Configuration ------------ #
+
+MAX_SESSION_TIME = 5 * 60  # 5 minutes
+REQUIRED_ENV_VARS = [
+    "DAILY_API_KEY",
+    "OPENAI_API_KEY",
+    "ELEVENLABS_API_KEY",
+    "ELEVENLABS_VOICE_ID",
+    "FLY_API_KEY",
+    "FLY_APP_NAME",
+]
+
+FLY_API_HOST = os.getenv("FLY_API_HOST", "https://api.machines.dev/v1")
+FLY_APP_NAME = os.getenv("FLY_APP_NAME", "pipecat-fly-example")
+FLY_API_KEY = os.getenv("FLY_API_KEY", "")
+FLY_HEADERS = {"Authorization": f"Bearer {FLY_API_KEY}", "Content-Type": "application/json"}
+
+daily_helpers = {}
+
+
+# ----------------- API ----------------- #
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    aiohttp_session = aiohttp.ClientSession()
+    daily_helpers["rest"] = DailyRESTHelper(
+        daily_api_key=os.getenv("DAILY_API_KEY", ""),
+        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
+        aiohttp_session=aiohttp_session,
+    )
+    yield
+    await aiohttp_session.close()
+
+
+app = FastAPI(lifespan=lifespan)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+# ----------------- Main ----------------- #
+
+
+async def spawn_fly_machine(room_url: str, token: str):
+    async with aiohttp.ClientSession() as session:
+        # Use the same image as the bot runner
+        async with session.get(
+            f"{FLY_API_HOST}/apps/{FLY_APP_NAME}/machines", headers=FLY_HEADERS
+        ) as r:
+            if r.status != 200:
+                text = await r.text()
+                raise Exception(f"Unable to get machine info from Fly: {text}")
+
+            data = await r.json()
+            image = data[0]["config"]["image"]
+
+        # Machine configuration
+        cmd = f"python3 bot.py -u {room_url} -t {token}"
+        cmd = cmd.split()
+        worker_props = {
+            "config": {
+                "image": image,
+                "auto_destroy": True,
+                "init": {"cmd": cmd},
+                "restart": {"policy": "no"},
+                "guest": {"cpu_kind": "shared", "cpus": 1, "memory_mb": 1024},
+            },
+        }
+
+        # Spawn a new machine instance
+        async with session.post(
+            f"{FLY_API_HOST}/apps/{FLY_APP_NAME}/machines", headers=FLY_HEADERS, json=worker_props
+        ) as r:
+            if r.status != 200:
+                text = await r.text()
+                raise Exception(f"Problem starting a bot worker: {text}")
+
+            data = await r.json()
+            # Wait for the machine to enter the started state
+            vm_id = data["id"]
+
+        async with session.get(
+            f"{FLY_API_HOST}/apps/{FLY_APP_NAME}/machines/{vm_id}/wait?state=started",
+            headers=FLY_HEADERS,
+        ) as r:
+            if r.status != 200:
+                text = await r.text()
+                raise Exception(f"Bot was unable to enter started state: {text}")
+
+    print(f"Machine joined room: {room_url}")
+
+
+@app.post("/")
+async def start_bot(request: Request) -> JSONResponse:
+    try:
+        data = await request.json()
+        # Is this a webhook creation request?
+        if "test" in data:
+            return JSONResponse({"test": True})
+    except Exception as e:
+        pass
+
+    # Use specified room URL, or create a new one if not specified
+    room_url = os.getenv("DAILY_SAMPLE_ROOM_URL", "")
+
+    if not room_url:
+        params = DailyRoomParams(properties=DailyRoomProperties())
+        try:
+            room: DailyRoomObject = await daily_helpers["rest"].create_room(params=params)
+        except Exception as e:
+            raise HTTPException(status_code=500, detail=f"Unable to provision room {e}")
+    else:
+        # Check passed room URL exists, we should assume that it already has a sip set up
+        try:
+            room: DailyRoomObject = await daily_helpers["rest"].get_room_from_url(room_url)
+        except Exception:
+            raise HTTPException(status_code=500, detail=f"Room not found: {room_url}")
+
+    # Give the agent a token to join the session
+    token = await daily_helpers["rest"].get_token(room.url, MAX_SESSION_TIME)
+
+    if not room or not token:
+        raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room_url}")
+
+    # Launch a new fly.io machine, or run as a shell process (not recommended)
+    run_as_process = os.getenv("RUN_AS_PROCESS", False)
+
+    if run_as_process:
+        try:
+            subprocess.Popen(
+                [f"python3 -m bot -u {room.url} -t {token}"],
+                shell=True,
+                bufsize=1,
+                cwd=os.path.dirname(os.path.abspath(__file__)),
+            )
+        except Exception as e:
+            raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
+    else:
+        try:
+            await spawn_fly_machine(room.url, token)
+        except Exception as e:
+            raise HTTPException(status_code=500, detail=f"Failed to spawn VM: {e}")
+
+    # Grab a token for the user to join with
+    user_token = await daily_helpers["rest"].get_token(room.url, MAX_SESSION_TIME)
+
+    return JSONResponse(
+        {
+            "room_url": room.url,
+            "token": user_token,
+        }
+    )
+
+
+if __name__ == "__main__":
+    # Check environment variables
+    for env_var in REQUIRED_ENV_VARS:
+        if env_var not in os.environ:
+            raise Exception(f"Missing environment variable: {env_var}.")
+
+    parser = argparse.ArgumentParser(description="Pipecat Bot Runner")
+    parser.add_argument(
+        "--host", type=str, default=os.getenv("HOST", "0.0.0.0"), help="Host address"
+    )
+    parser.add_argument("--port", type=int, default=os.getenv("PORT", 7860), help="Port number")
+    parser.add_argument(
+        "--reload", action="store_true", default=False, help="Reload code on change"
+    )
+
+    config = parser.parse_args()
+
+    try:
+        import uvicorn
+
+        uvicorn.run("bot_runner:app", host=config.host, port=config.port, reload=config.reload)
+    except KeyboardInterrupt:
+        print("Pipecat runner shutting down...")

examples/deployment/flyio-example/env.example

@@ -0,0 +1,8 @@
+DAILY_API_KEY=
+DAILY_SAMPLE_ROOM_URL= # Enter a Daily room URL to use a set room URL each time (useful for local testing)
+OPENAI_API_KEY=
+ELEVENLABS_API_KEY=
+ELEVENLABS_VOICE_ID=
+FLY_API_KEY=
+FLY_APP_NAME=
+RUN_AS_PROCESS= # Spawn fly.io machine for each session or run as local process

examples/deployment/flyio-example/example-fly.toml

@@ -0,0 +1,25 @@
+# fly.toml app configuration file generated for pipecat-fly-example on 2024-07-01T15:04:53+01:00
+#
+# See https://fly.io/docs/reference/configuration/ for information about how to use this file.
+#
+
+app = 'pipecat-fly-example'
+primary_region = 'sjc'
+
+[build]
+
+[env]
+  FLY_APP_NAME = 'pipecat-fly-example'
+
+[http_service]
+  internal_port = 7860
+  force_https = true
+  auto_stop_machines = true
+  auto_start_machines = true
+  min_machines_running = 0
+  processes = ['app']
+
+[[vm]]
+  memory = 512
+  cpu_kind = 'shared'
+  cpus = 1

examples/deployment/flyio-example/requirements.txt

@@ -0,0 +1,5 @@
+pipecat-ai[daily,openai,silero]
+fastapi
+uvicorn
+python-dotenv
+loguru

examples/deployment/modal-example/.gitignore

@@ -0,0 +1,94 @@
+# Modal clone
+modal-examples
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+dist/
+*.egg-info/
+*.egg
+.installed.cfg
+.eggs/
+downloads/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+MANIFEST
+
+# Virtual Environments
+venv/
+env/
+.env
+.venv/
+ENV/
+env.bak/
+venv.bak/
+
+# IDE
+.idea/
+.vscode/
+.spyderproject
+.spyproject
+.ropeproject
+
+# Testing and Coverage
+.coverage
+.coverage.*
+htmlcov/
+.pytest_cache/
+.tox/
+.nox/
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+cover/
+
+# Logs and Databases
+*.log
+*.db
+db.sqlite3
+db.sqlite3-journal
+pip-log.txt
+
+# System Files
+.DS_Store
+Thumbs.db
+desktop.ini
+*.swp
+*.swo
+*.bak
+*.tmp
+*~
+
+# Build and Documentation
+docs/_build/
+.pybuilder/
+target/
+instance/
+.webassets-cache
+.pdm.toml
+.pdm-python
+.pdm-build/
+__pypackages__/
+
+# Other
+*.mo
+*.pot
+*.sage.py
+.mypy_cache/
+.dmypy.json
+dmypy.json
+.pyre/
+.pytype/
+cython_debug/
+.ipynb_checkpoints

examples/deployment/modal-example/README.md

@@ -0,0 +1,91 @@
+# Deploying Pipecat to Modal.com
+
+Deployment example for [modal.com](https://www.modal.com). This example demonstrates how to deploy a FastAPI webapp to Modal with an RTVI compatible `/connect` endpoint that launches a Pipecat pipeline in a separate Modal container and returns a room/token for the client to join. This example also supports providing a parameter to the `/connect` endpoint for specifying which Pipecat pipeline to launch; openai, gemini, or vllm. The vllm pipeline points to a self-hosted OpenAI compatible LLM, using a llama model (neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w4a16), deployed to Modal.
+
+![](diagram.jpg)
+
+# Running this Example
+
+## Install the Modal CLI
+
+Setup a Modal account and install it on your machine if you have not already, following their easy 3 steps in their [Getting Started Guide](https://modal.com/docs/guide#getting-started)
+
+## Deploy a self-serve LLM
+
+1. Deploy Modal's OpenAI-compatible LLM service:
+
+   ```bash
+   git clone https://github.com/modal-labs/modal-examples
+   cd modal-examples
+   modal deploy 06_gpu_and_ml/llm-serving/vllm_inference.py
+   ```
+
+   Refer to Modal's guide and example for [Deploying an OpenAI-compatible LLM service with vLLM](https://modal.com/docs/examples/vllm_inference) for more details.
+
+2. Take note of the endpoint URL from the previous step, which will look like:
+   ```
+   https://{your-workspace}--example-vllm-openai-compatible-serve.modal.run
+   ```
+   You'll need this for the `bot_vllm.py` file in the next section.
+
+    **Note:**  The default Modal LLM example uses Llama-3.1 and will shut down after 15 minutes of inactivity. Cold starts take 5-10 minutes. To prepare the service, we recommend visiting the `/docs` endpoint (`https://<Modal workspace>--example-vllm-openai-compatible-serve.modal.run/docs`) for your deployed LLM and wait for it to fully load before connecting your client.
+
+## Deploy FastAPI App and Pipecat pipeline to Modal 
+
+1. Setup environment variables
+
+   ```bash
+   cd server
+   cp env.example .env
+   # Modify .env to provide your service API Keys
+   ```
+
+   Alternatively, you can configure your Modal app to use [secrets](https://modal.com/docs/guide/secrets)
+
+2. Update the `modal_url` in `server/src/bot_vllm.py` to point to the url produced from the self-serve llm deploy, mentioned above.
+
+3. From within the `server` directory, test the app locally:
+
+   ```bash
+   modal serve app.py
+   ```
+
+4. Deploy to production
+
+   ```bash
+   modal deploy app.py
+   ```
+
+5. Note the endpoint URL produced from this deployment. It will look like:
+
+   ```bash
+   https://{your-workspace}--pipecat-modal-fastapi-app.modal.run
+   ```
+
+   You'll need this URL for the client's `app.js` configuration mentioned in its README.
+
+## Launch your bots on Modal
+
+### Option 1: Direct Link
+
+Simply click on the url displayed after running the server or deploy step to launch an agent and be redirected to a Daily room to talk with the launched bot. This will use the OpenAI pipeline.
+
+### Option 2: Connect via an RTVI Client
+
+Follow the instructions provided in the [client folder's README](client/javascript/README.md) for building and running a custom client that connects to your Modal endpoint. The provided client provides a dropdown for choosing which bot pipeline to run.
+
+# Navigating your llm, server, and Pipecat logs
+
+In your [Modal dashboard](https://modal.com/apps), you should have two Apps listed under Live Apps:
+
+1. `example-vllm-openai-compatible`: This App contains the containers and logs used to run your self-hosted LLM. There will be just one App Function listed: `serve`. Click on this function to view logs for your LLM.
+2. `pipecat-modal`: This App contains the containers and logs used to run your `connect` endpoints and Pipecat pipelines. It will list two App Functions:
+    1. `fastapi_app`: This function is running the endpoints that your client will interact with and initiate starting a new pipeline (`/`, `/connect`, `/status`). Click on this function to see logs for each endpoint hit.
+    2. `bot_runner`: This function handles launching and running a bot pipeline. Click on this function to get a list of all pipeline runs and access each run's logs.
+
+# Modal + Pipecat Tips
+
+- In most other Pipecat examples, we use `Popen` to launch the pipeline process from the `/connect` endpoint. In this example, we use a Modal function instead. This allows us to run the pipelines using a separately defined Modal image as well as run each pipeline in an isolated container.
+- For the FastAPI and most common Pipecat Pipeline containers, a default `debian_slim` CPU-only should be all that's required to run. GPU containers are needed for self-hosted services.
+- To minimize cold starts of the pipeline and reduce latency for users, set `min_containers=1` on the Modal Function that launches the pipeline to ensure at least one warm instance of your function is always available.
+- For next steps on running a self-hosted llm and reducing latency, check out all of [Modal's LLM examples](https://modal.com/docs/examples/vllm_inference).

examples/deployment/modal-example/client/javascript/.gitignore

@@ -0,0 +1 @@
+node_modules

examples/deployment/modal-example/client/javascript/README.md

@@ -0,0 +1,29 @@
+# JavaScript Implementation
+
+Basic implementation using the [Pipecat JavaScript SDK](https://docs.pipecat.ai/client/js/introduction).
+
+## Setup
+
+1. Deploy the Modal server. See the main [README](../../README).
+
+2. Navigate to the `client/javascript` directory:
+
+```bash
+cd client/javascript
+```
+
+3. Modify the baseUrl in src/app.js to point to your deployed Modal endpoint
+
+4. Install dependencies:
+
+```bash
+npm install
+```
+
+5. Run the client app:
+
+```
+npm run dev
+```
+
+6. Visit http://localhost:5173 in your browser.

examples/deployment/modal-example/client/javascript/index.html

@@ -0,0 +1,49 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>AI Chatbot</title>
+  </head>
+
+  <body>
+    <div class="container">
+      <div class="status-bar">
+        <div class="status">
+          Status: <span id="connection-status">Disconnected</span>
+        </div>
+        <div class="controls">
+          <select id="bot-selector">
+            <option value="openai">OpenAI</option>
+            <option value="gemini">Gemini</option>
+            <option value="vllm">Llama</option>
+          </select>
+          <button id="connect-btn">Connect</button>
+          <button id="disconnect-btn" disabled>Disconnect</button>
+        </div>
+      </div>
+
+      <div class="main-content">
+        <div class="bot-container">
+          <div id="bot-video-container"></div>
+          <audio id="bot-audio" autoplay></audio>
+        </div>
+      </div>
+
+      <div class="device-bar">
+        <div class="device-controls">
+          <select id="device-selector"></select>
+          <button id="mic-toggle-btn">Mute Mic</button>
+        </div>
+      </div>
+
+      <div class="debug-panel">
+        <h3>Debug Info</h3>
+        <div id="debug-log"></div>
+      </div>
+    </div>
+
+    <script type="module" src="/src/app.js"></script>
+    <link rel="stylesheet" href="/src/style.css" />
+  </body>
+</html>

examples/deployment/modal-example/client/javascript/package.json

@@ -0,0 +1,21 @@
+{
+  "name": "client",
+  "version": "1.0.0",
+  "main": "index.js",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "preview": "vite preview"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "description": "",
+  "devDependencies": {
+    "vite": "^6.3.5"
+  },
+  "dependencies": {
+    "@pipecat-ai/client-js": "^0.3.5",
+    "@pipecat-ai/daily-transport": "^0.3.10"
+  }
+}

examples/deployment/modal-example/client/javascript/src/app.js

@@ -0,0 +1,381 @@
+/**
+ * Copyright (c) 2024–2025, Daily
+ *
+ * SPDX-License-Identifier: BSD 2-Clause License
+ */
+
+/**
+ * RTVI Client Implementation
+ *
+ * This client connects to an RTVI-compatible bot server using WebRTC (via Daily).
+ * It handles audio/video streaming and manages the connection lifecycle.
+ *
+ * Requirements:
+ * - A running RTVI bot server (defaults to http://localhost:7860)
+ * - The server must implement the /connect endpoint that returns Daily.co room credentials
+ * - Browser with WebRTC support
+ */
+
+import { RTVIClient, RTVIEvent } from '@pipecat-ai/client-js';
+import { DailyTransport } from '@pipecat-ai/daily-transport';
+
+/**
+ * ChatbotClient handles the connection and media management for a real-time
+ * voice and video interaction with an AI bot.
+ */
+class ChatbotClient {
+  constructor() {
+    // Initialize client state
+    this.rtviClient = null;
+    this.setupDOMElements();
+    this.initializeClientAndTransport();
+    this.setupEventListeners();
+  }
+
+  /**
+   * Set up references to DOM elements and create necessary media elements
+   */
+  setupDOMElements() {
+    // Get references to UI control elements
+    this.connectBtn = document.getElementById('connect-btn');
+    this.disconnectBtn = document.getElementById('disconnect-btn');
+    this.statusSpan = document.getElementById('connection-status');
+    this.debugLog = document.getElementById('debug-log');
+    this.botVideoContainer = document.getElementById('bot-video-container');
+    this.deviceSelector = document.getElementById('device-selector');
+
+    // Create an audio element for bot's voice output
+    this.botAudio = document.createElement('audio');
+    this.botAudio.autoplay = true;
+    this.botAudio.playsInline = true;
+    document.body.appendChild(this.botAudio);
+  }
+
+  /**
+   * Set up event listeners for connect/disconnect buttons
+   */
+  setupEventListeners() {
+    this.connectBtn.addEventListener('click', () => this.connect());
+    this.disconnectBtn.addEventListener('click', () => this.disconnect());
+
+    // Populate device selector
+    this.rtviClient.getAllMics().then((mics) => {
+      console.log('Available mics:', mics);
+      mics.forEach((device) => {
+        const option = document.createElement('option');
+        option.value = device.deviceId;
+        option.textContent = device.label || `Microphone ${device.deviceId}`;
+        this.deviceSelector.appendChild(option);
+      });
+    });
+    this.deviceSelector.addEventListener('change', (event) => {
+      const selectedDeviceId = event.target.value;
+      console.log('Selected device ID:', selectedDeviceId);
+      this.rtviClient.updateMic(selectedDeviceId);
+    });
+
+    // Handle mic mute/unmute toggle
+    const micToggleBtn = document.getElementById('mic-toggle-btn');
+
+    micToggleBtn.addEventListener('click', () => {
+      let micEnabled = this.rtviClient.isMicEnabled;
+      micToggleBtn.textContent = micEnabled ? 'Unmute Mic' : 'Mute Mic';
+      this.rtviClient.enableMic(!micEnabled);
+      // Add logic to mute/unmute the mic
+      if (micEnabled) {
+        console.log('Mic muted');
+        // Add code to mute the mic
+      } else {
+        console.log('Mic unmuted');
+        // Add code to unmute the mic
+      }
+    });
+  }
+
+  /**
+   * Set up the RTVI client and Daily transport
+   */
+  async initializeClientAndTransport() {
+    // Initialize the RTVI client with a DailyTransport and our configuration
+    this.rtviClient = new RTVIClient({
+      transport: new DailyTransport(),
+      params: {
+        // REPLACE WITH YOUR MODAL URL ENDPOINT
+        baseUrl:
+          'https://<Modal workspace>--pipecat-modal-bot-launcher.modal.run',
+        endpoints: {
+          connect: '/connect',
+        },
+        requestData: {
+          bot_name: 'openai',
+        },
+      },
+      enableMic: true, // Enable microphone for user input
+      enableCam: false,
+      callbacks: {
+        // Handle connection state changes
+        onConnected: () => {
+          this.updateStatus('Connected');
+          this.connectBtn.disabled = true;
+          this.disconnectBtn.disabled = false;
+          this.log('Client connected');
+        },
+        onDisconnected: () => {
+          this.updateStatus('Disconnected');
+          this.connectBtn.disabled = false;
+          this.disconnectBtn.disabled = true;
+          this.log('Client disconnected');
+        },
+        // Handle transport state changes
+        onTransportStateChanged: (state) => {
+          this.updateStatus(`Transport: ${state}`);
+          this.log(`Transport state changed: ${state}`);
+          if (state === 'connecting') {
+            window.startTime = Date.now();
+          }
+          if (state === 'ready') {
+            this.setupMediaTracks();
+            console.warn('TIME TO BOT READY:', Date.now() - window.startTime);
+          }
+        },
+        // Handle bot connection events
+        onBotConnected: (participant) => {
+          this.log(`Bot connected: ${JSON.stringify(participant)}`);
+        },
+        onBotDisconnected: (participant) => {
+          this.log(`Bot disconnected: ${JSON.stringify(participant)}`);
+        },
+        onBotReady: (data) => {
+          this.log(`Bot ready: ${JSON.stringify(data)}`);
+          this.setupMediaTracks();
+        },
+        // Transcript events
+        onUserTranscript: (data) => {
+          // Only log final transcripts
+          if (data.final) {
+            this.log(`User: ${data.text}`);
+          }
+        },
+        onBotTranscript: (data) => {
+          this.log(`Bot: ${data.text}`);
+        },
+        // Error handling
+        onMessageError: (error) => {
+          console.log('Message error:', error);
+        },
+        onMicUpdated: (data) => {
+          console.log('Mic updated:', data);
+          this.deviceSelector.value = data.deviceId;
+        },
+        onError: (error) => {
+          console.log('Error:', JSON.stringify(error));
+        },
+      },
+    });
+
+    // Set up listeners for media track events
+    this.setupTrackListeners();
+
+    await this.rtviClient.initDevices();
+    window.client = this.rtviClient;
+  }
+
+  /**
+   * Add a timestamped message to the debug log
+   */
+  log(message) {
+    const entry = document.createElement('div');
+    entry.textContent = `${new Date().toISOString()} - ${message}`;
+
+    // Add styling based on message type
+    if (message.startsWith('User: ')) {
+      entry.style.color = '#2196F3'; // blue for user
+    } else if (message.startsWith('Bot: ')) {
+      entry.style.color = '#4CAF50'; // green for bot
+    }
+
+    this.debugLog.appendChild(entry);
+    this.debugLog.scrollTop = this.debugLog.scrollHeight;
+    console.log(message);
+  }
+
+  /**
+   * Update the connection status display
+   */
+  updateStatus(status) {
+    this.statusSpan.textContent = status;
+    this.log(`Status: ${status}`);
+  }
+
+  /**
+   * Check for available media tracks and set them up if present
+   * This is called when the bot is ready or when the transport state changes to ready
+   */
+  setupMediaTracks() {
+    if (!this.rtviClient) return;
+
+    // Get current tracks from the client
+    const tracks = this.rtviClient.tracks();
+
+    // Set up any available bot tracks
+    if (tracks.bot?.audio) {
+      this.setupAudioTrack(tracks.bot.audio);
+    }
+    if (tracks.bot?.video) {
+      this.setupVideoTrack(tracks.bot.video);
+    }
+  }
+
+  /**
+   * Set up listeners for track events (start/stop)
+   * This handles new tracks being added during the session
+   */
+  setupTrackListeners() {
+    if (!this.rtviClient) return;
+
+    // Listen for new tracks starting
+    this.rtviClient.on(RTVIEvent.TrackStarted, (track, participant) => {
+      // Only handle non-local (bot) tracks
+      if (!participant?.local) {
+        if (track.kind === 'audio') {
+          this.setupAudioTrack(track);
+        } else if (track.kind === 'video') {
+          this.setupVideoTrack(track);
+        }
+        this.log(
+          `Track started event: ${track.kind} from ${
+            participant?.name || 'unknown'
+          }`
+        );
+      } else {
+        this.log('Local mic unmuted');
+      }
+    });
+
+    // Listen for tracks stopping
+    this.rtviClient.on(RTVIEvent.TrackStopped, (track, participant) => {
+      if (participant.local) {
+        this.log('Local mic muted');
+        return;
+      }
+      this.log(
+        `Track stopped event: ${track.kind} from ${
+          participant?.name || 'unknown'
+        }`
+      );
+    });
+  }
+
+  /**
+   * Set up an audio track for playback
+   * Handles both initial setup and track updates
+   */
+  setupAudioTrack(track) {
+    this.log('Setting up audio track');
+    // Check if we're already playing this track
+    if (this.botAudio.srcObject) {
+      const oldTrack = this.botAudio.srcObject.getAudioTracks()[0];
+      if (oldTrack?.id === track.id) return;
+    }
+    // Create a new MediaStream with the track and set it as the audio source
+    this.botAudio.srcObject = new MediaStream([track]);
+  }
+
+  /**
+   * Set up a video track for display
+   * Handles both initial setup and track updates
+   */
+  setupVideoTrack(track) {
+    this.log('Setting up video track');
+    const videoEl = document.createElement('video');
+    videoEl.autoplay = true;
+    videoEl.playsInline = true;
+    videoEl.muted = true;
+    videoEl.style.width = '100%';
+    videoEl.style.height = '100%';
+    videoEl.style.objectFit = 'cover';
+
+    // Check if we're already displaying this track
+    if (this.botVideoContainer.querySelector('video')?.srcObject) {
+      const oldTrack = this.botVideoContainer
+        .querySelector('video')
+        .srcObject.getVideoTracks()[0];
+      if (oldTrack?.id === track.id) return;
+    }
+
+    // Create a new MediaStream with the track and set it as the video source
+    videoEl.srcObject = new MediaStream([track]);
+    this.botVideoContainer.innerHTML = '';
+    this.botVideoContainer.appendChild(videoEl);
+  }
+
+  /**
+   * Initialize and connect to the bot
+   * This sets up the RTVI client, initializes devices, and establishes the connection
+   */
+  async connect() {
+    try {
+      const botSelector = document.getElementById('bot-selector');
+      const selectedBot = botSelector.value;
+      this.rtviClient.params.requestData.bot_name = selectedBot;
+
+      // Initialize audio/video devices
+      this.log('Initializing devices...');
+      await this.rtviClient.initDevices();
+
+      // Connect to the bot
+      this.log(`Connecting to bot: ${selectedBot}`);
+      await this.rtviClient.connect();
+
+      this.log('Connection complete');
+    } catch (error) {
+      // Handle any errors during connection
+      console.error('Connection error:', error);
+      this.log(`Error connecting: ${JSON.stringify(error.message)}`);
+      this.log(`Error stack: ${error.stack}`);
+      this.updateStatus('Error');
+
+      // Clean up if there's an error
+      if (this.rtviClient) {
+        try {
+          await this.rtviClient.disconnect();
+        } catch (disconnectError) {
+          this.log(`Error during disconnect: ${disconnectError.message}`);
+        }
+      }
+    }
+  }
+
+  /**
+   * Disconnect from the bot and clean up media resources
+   */
+  async disconnect() {
+    if (this.rtviClient) {
+      try {
+        // Disconnect the RTVI client
+        await this.rtviClient.disconnect();
+
+        // Clean up audio
+        if (this.botAudio.srcObject) {
+          this.botAudio.srcObject.getTracks().forEach((track) => track.stop());
+          this.botAudio.srcObject = null;
+        }
+
+        // Clean up video
+        if (this.botVideoContainer.querySelector('video')?.srcObject) {
+          const video = this.botVideoContainer.querySelector('video');
+          video.srcObject.getTracks().forEach((track) => track.stop());
+          video.srcObject = null;
+        }
+        this.botVideoContainer.innerHTML = '';
+      } catch (error) {
+        this.log(`Error disconnecting: ${error.message}`);
+      }
+    }
+  }
+}
+
+// Initialize the client when the page loads
+window.addEventListener('DOMContentLoaded', () => {
+  new ChatbotClient();
+});

examples/deployment/modal-example/client/javascript/src/style.css

@@ -0,0 +1,135 @@
+body {
+  margin: 0;
+  padding: 20px;
+  font-family: Arial, sans-serif;
+  background-color: #f0f0f0;
+}
+
+.container {
+  max-width: 1200px;
+  margin: 0 auto;
+}
+
+.status-bar,
+.device-bar {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  padding: 10px;
+  background-color: #fff;
+  border-radius: 8px;
+  margin-bottom: 20px;
+}
+
+.controls,
+.device-controls {
+  display: flex;
+  align-items: center;
+  gap: 10px; /* Adds spacing between elements */
+}
+
+.device-controls {
+  margin-left: auto;
+}
+
+.controls button,
+.device-controls button {
+  padding: 8px 16px;
+  margin-left: 10px;
+  border: none;
+  border-radius: 4px;
+  cursor: pointer;
+}
+
+#bot-selector,
+#device-selector {
+  padding: 8px 16px;
+  padding-right: 40px;
+  border: none;
+  border-radius: 4px;
+  background-color: #6c757d; /* Gray background */
+  color: white; /* White text */
+  cursor: pointer;
+  appearance: none; /* Removes default browser styling for dropdowns */
+  background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24' fill='white'%3E%3Cpath d='M7 10l5 5 5-5z'/%3E%3C/svg%3E"); /* Custom arrow */
+  background-repeat: no-repeat;
+  background-position: right 8px center; /* Position the arrow */
+}
+
+#bot-selector:focus,
+#device-selector:focus {
+  outline: none;
+  box-shadow: 0 0 4px rgba(0, 0, 0, 0.3); /* Add a subtle focus effect */
+}
+
+#connect-btn {
+  background-color: #4caf50;
+  color: white;
+}
+
+#disconnect-btn {
+  background-color: #f44336;
+  color: white;
+}
+
+#mic-toggle-btn {
+}
+
+button:disabled {
+  opacity: 0.5;
+  cursor: not-allowed;
+}
+
+.main-content {
+  background-color: #fff;
+  border-radius: 8px;
+  padding: 20px;
+  margin-bottom: 20px;
+}
+
+.bot-container {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+}
+
+#bot-video-container {
+  width: 640px;
+  height: 360px;
+  background-color: #e0e0e0;
+  border-radius: 8px;
+  margin: 20px auto;
+  overflow: hidden;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+}
+
+#bot-video-container video {
+  width: 100%;
+  height: 100%;
+  object-fit: cover;
+}
+
+.debug-panel {
+  background-color: #fff;
+  border-radius: 8px;
+  padding: 20px;
+}
+
+.debug-panel h3 {
+  margin: 0 0 10px 0;
+  font-size: 16px;
+  font-weight: bold;
+}
+
+#debug-log {
+  height: 200px;
+  overflow-y: auto;
+  background-color: #f8f8f8;
+  padding: 10px;
+  border-radius: 4px;
+  font-family: monospace;
+  font-size: 12px;
+  line-height: 1.4;
+}

examples/deployment/modal-example/server/app.py

@@ -0,0 +1,307 @@
+"""modal_example.
+
+This module shows a simple example of how to deploy a bot using Modal and FastAPI.
+
+It includes:
+- FastAPI endpoints for starting agents and checking bot statuses.
+- Dynamic loading of bot implementations.
+- Use of a Daily transport for bot communication.
+"""
+
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import importlib
+import os
+from contextlib import asynccontextmanager
+from typing import Any, Dict, Literal
+
+import aiohttp
+import modal
+from fastapi import APIRouter, FastAPI, HTTPException
+from fastapi.responses import JSONResponse, RedirectResponse
+from pydantic import BaseModel
+
+# container specifications for the FastAPI web server
+web_image = (
+    modal.Image.debian_slim(python_version="3.13")
+    .pip_install_from_requirements("requirements.txt")
+    .pip_install("pipecat-ai[daily]")
+    .add_local_dir("src", remote_path="/root/src")
+)
+
+# container specifications for the Pipecat pipeline
+bot_image = (
+    modal.Image.debian_slim(python_version="3.13")
+    .apt_install("ffmpeg")
+    .pip_install_from_requirements("requirements.txt")
+    .pip_install("pipecat-ai[daily,elevenlabs,openai,silero,google]")
+    .add_local_dir("src", remote_path="/root/src")
+)
+
+app = modal.App("pipecat-modal", secrets=[modal.Secret.from_dotenv()])
+
+router = APIRouter()
+
+bot_jobs = {}
+daily_helpers = {}
+
+# Names of all supported bot implementations
+# These correspond to the bot files in the src directory
+BotName = Literal["openai", "gemini", "vllm"]
+
+
+def cleanup():
+    """Cleanup function to terminate all bot processes.
+
+    Called during server shutdown.
+    """
+    for entry in bot_jobs.values():
+        func = modal.FunctionCall.from_id(entry[0])
+        if func:
+            func.cancel()
+
+
+def get_bot_file(bot_name: BotName) -> str:
+    """Retrieve the bot file name corresponding to the provided bot_name.
+
+    Args:
+        bot_name (BotName): The name of the bot (e.g., 'openai', 'gemini', 'vllm').
+
+    Returns:
+        str: The file name corresponding to the bot implementation.
+
+    Raises:
+        ValueError: If the bot name is invalid or not supported.
+    """
+    # bot_implementation = os.getenv("BOT_IMPLEMENTATION", "openai").lower().strip()
+    bot_implementation = bot_name.lower().strip()
+    if not bot_implementation:
+        bot_implementation = "openai"
+    if bot_implementation not in ["openai", "gemini", "vllm"]:
+        raise ValueError(
+            f"Invalid BOT_IMPLEMENTATION: {bot_implementation}. Must be 'openai' or 'gemini' or 'vllm'"
+        )
+
+    return f"bot_{bot_implementation}"
+
+
+def get_runner(path: str, bot_file: str) -> callable:
+    """Dynamically import the run_bot function based on the bot name.
+
+    Args:
+        path (str): The path to the bot files (e.g., 'src').
+        bot_file (str): The file name of the bot implementation (e.g., 'openai', 'gemini', 'vllm').
+
+    Returns:
+        function: The run_bot function from the specified bot module.
+
+    Raises:
+        ImportError: If the specified bot module or run_bot function is not found.
+    """
+    try:
+        # Dynamically construct the module name
+        module_name = f"{path}.{bot_file}"
+        # Import the module
+        module = importlib.import_module(module_name)
+        # Get the run_bot function from the module
+        return getattr(module, "run_bot")
+    except (ImportError, AttributeError) as e:
+        raise ImportError(f"Failed to import run_bot from {module_name}: {e}")
+
+
+async def create_room_and_token() -> tuple[str, str]:
+    """Create a Daily room and generate an authentication token.
+
+    This function checks for existing room URL and token in the environment variables.
+    If not found, it creates a new room using the Daily API and generates a token for it.
+
+    Returns:
+        tuple[str, str]: A tuple containing the room URL and the authentication token.
+
+    Raises:
+        HTTPException: If room creation or token generation fails.
+    """
+    from pipecat.transports.services.helpers.daily_rest import DailyRoomParams
+
+    room_url = os.getenv("DAILY_SAMPLE_ROOM_URL", None)
+    token = os.getenv("DAILY_SAMPLE_ROOM_TOKEN", None)
+    if not room_url:
+        room = await daily_helpers["rest"].create_room(DailyRoomParams())
+        if not room.url:
+            raise HTTPException(status_code=500, detail="Failed to create room")
+        room_url = room.url
+
+        token = await daily_helpers["rest"].get_token(room_url)
+        if not token:
+            raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room_url}")
+
+    return room_url, token
+
+
+@app.function(image=bot_image, min_containers=1)
+async def bot_runner(room_url, token, bot_name: BotName = "openai"):
+    """Launch the provided bot process, providing the given room URL and token for the bot to join.
+
+    Args:
+        room_url (str): The URL of the Daily room where the bot and client will communicate.
+        token (str): The authentication token for the room.
+        bot_name (BotName): The name of the bot implementation to use. Defaults to "openai".
+
+    Raises:
+        HTTPException: If the bot pipeline fails to start.
+    """
+    try:
+        path = "src"
+        bot_file = get_bot_file(bot_name)
+        run_bot = get_runner(path, bot_file)
+
+        print(f"Starting bot process: {bot_file} -u {room_url} -t {token}")
+        await run_bot(room_url, token)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to start bot pipeline: {e}")
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """FastAPI lifespan manager that handles startup and shutdown tasks.
+
+    - Creates aiohttp session
+    - Initializes Daily API helper
+    - Cleans up resources on shutdown
+    """
+    from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
+
+    aiohttp_session = aiohttp.ClientSession()
+    daily_helpers["rest"] = DailyRESTHelper(
+        daily_api_key=os.getenv("DAILY_API_KEY", ""),
+        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
+        aiohttp_session=aiohttp_session,
+    )
+    yield
+    await aiohttp_session.close()
+    cleanup()
+
+
+class ConnectData(BaseModel):
+    """Data provided by client to specify the bot pipeline.
+
+    Attributes:
+        bot_name (BotName): The name of the bot to connect to. Defaults to "openai".
+    """
+
+    bot_name: BotName = "openai"
+
+
+async def start(data: ConnectData):
+    """Internal method to start a bot agent and return the room URL and token.
+
+    Args:
+        data (ConnectData): The data containing the bot name to use.
+
+    Returns:
+        tuple[str, str]: A tuple containing the room URL and token.
+    """
+    room_url, token = await create_room_and_token()
+    launch_bot_func = modal.Function.from_name("pipecat-modal", "bot_runner")
+    function_id = launch_bot_func.spawn(room_url, token, data.bot_name)
+    bot_jobs[function_id] = (function_id, room_url)
+
+    return room_url, token
+
+
+@router.get("/")
+async def start_agent():
+    """A user endpoint for launching a bot agent and redirecting to the created room URL.
+
+    This function retrieves the bot implementation from the environment,
+    starts the bot agent, and redirects the user to the room URL to
+    interact with the bot through a Daily Prebuilt Interface.
+
+    Returns:
+        RedirectResponse: A response that redirects to the room URL.
+    """
+    bot_name = os.getenv("BOT_IMPLEMENTATION", "openai").lower().strip()
+    print(f"Starting bot: {bot_name}")
+    room_url, token = await start(ConnectData(bot_name=bot_name))
+
+    return RedirectResponse(room_url)
+
+
+@router.post("/connect")
+async def rtvi_connect(data: ConnectData) -> Dict[Any, Any]:
+    """A user endpoint for launching a bot agent and retrieving the room/token credentials.
+
+    This function retrieves the bot implementation from the request, if provided,
+    starts the bot agent, and returns the room URL and token for the bot. This allows the
+    client to then connect to the bot using their own RTVI interface.
+
+    Args:
+        data (ConnectData): Optional. The data containing the bot name to use.
+
+    Returns:
+        Dict[Any, Any]: A dictionary containing the room URL and token.
+    """
+    print(f"Starting bot: {data.bot_name}")
+    if data is None or not data.bot_name:
+        data.bot_name = os.getenv("BOT_IMPLEMENTATION", "openai").lower().strip()
+    room_url, token = await start(data)
+
+    return {"room_url": room_url, "token": token}
+
+
+@router.get("/status/{fid}")
+def get_status(fid: str):
+    """Retrieve the status of a bot process by its function ID.
+
+    Args:
+        fid (str): The function ID of the bot process.
+
+    Returns:
+        JSONResponse: A JSON response containing the bot's status and result code.
+
+    Raises:
+        HTTPException: If the bot process with the given ID is not found.
+    """
+    func = modal.FunctionCall.from_id(fid)
+    if not func:
+        raise HTTPException(status_code=404, detail=f"Bot with process id: {fid} not found")
+
+    try:
+        result = func.get(timeout=0)
+        return JSONResponse({"bot_id": fid, "status": "finished", "code": result})
+    except modal.exception.OutputExpiredError:
+        return JSONResponse({"bot_id": fid, "status": "finished", "code": 404})
+    except TimeoutError:
+        return JSONResponse({"bot_id": fid, "status": "running", "code": 202})
+
+
+@app.function(image=web_image, min_containers=1)
+@modal.concurrent(max_inputs=1)
+@modal.asgi_app()
+def fastapi_app():
+    """Create and configure the FastAPI application.
+
+    This function initializes the FastAPI app with middleware, routes, and lifespan management.
+    It is decorated to be used as a Modal ASGI app.
+    """
+    from fastapi.middleware.cors import CORSMiddleware
+
+    # Initialize FastAPI app
+    web_app = FastAPI(lifespan=lifespan)
+
+    web_app.add_middleware(
+        CORSMiddleware,
+        allow_origins=["*"],
+        allow_credentials=True,
+        allow_methods=["*"],
+        allow_headers=["*"],
+    )
+
+    # Include the endpoints from endpoints.py
+    web_app.include_router(router)
+
+    return web_app

examples/deployment/modal-example/server/env.example

@@ -0,0 +1,14 @@
+DAILY_API_KEY=
+
+# determines which bot file to default to: 'openai', 'gemini', or 'vllm'
+BOT_IMPLEMENTATION=openai
+
+# needed for the openai bot pipeline
+OPENAI_API_KEY=
+ELEVENLABS_API_KEY=
+
+# needed for the gemini live bot pipeline
+GOOGLE_API_KEY=
+
+# needed if you modified the API Key for your self-hosted LLM
+VLLM_API_KEY=

examples/deployment/modal-example/server/requirements.txt

@@ -0,0 +1,2 @@
+python-dotenv==1.0.1
+modal==0.71.3